225 Cuda Jobs - Page 3

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary: Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models. We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobe's top products in various domains. As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 12+ years of experience 3+ years as a Lead/Architect Excellent communication and technical leadership skills Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

NVIDIA GPUs have ignited a new era of computing with the advent of AI, for which the GPU acts as the brain of computers. Robotics, self-driving cars, industrial automation, and many other domains benefit from the computing power of GPUs. The high-quality and robust GPU software stack simplifies the realization of complex use cases. This has been possible because of the amazing group of people working here at NVIDIA who made this happen. We are now looking for a Senior System Software Engineer in Compute System software team to work on the architecture and design of the user mode drivers that interact with GPU, DLA and other Tegra compute engines. What You’ll Be Doing You will be involved in the definition, architectural design and analysis, and development of groundbreaking functional safety software, with an opportunity to shape the future of parallel computation on GPUs Modify complex software designed for diverse domains and fortify it to meet the standards vital for deployment in critical automotive sectors, while also successfully acquiring safety certification. Participate in development of proprietary and open computing standards and contribute to the development of next generation GPUs in collaboration with architecture and HW engineers at NVIDIA Inculcate a culture of high quality software development in the team, mentor other engineers What We Need To See BS/MS degree in Computer Science or related field or equivalent experience Passionate about high quality software engineering, and a desire to contribute towards creating better software Fair understanding of computer architecture, OS fundamentals 5+ years of proven experience in complex software development, design, and analysis A strong teammate; self-motivated and good demeanor A strong desire to learn, grow and create Ways To Stand Out From The Crowd Previous experience with Parallel Programming, particularly in CUDA, OpenCL, or Renderscript Prior experience with developing safety critical software, or hardening and taking complex software through software audits Hands-on background with software safety analyses, such as FMEA, FTA, ETA, HAZOP, DFA/coexistence analysis/freedom from interference, etc Hands-on experience with various tools and standards for better software engineering at the architectural, design, and code levels NVIDIA is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1991381 Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary: Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models. We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobe's top products in various domains. As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 12+ years of experience 3+ years as a Lead/Architect Excellent communication and technical leadership skills Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Position Description Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services. The chosen candidate will be part of Lenovo Solutions Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses. This role is primarily internal but includes some customer-facing work. This is a remote-only role. In This Role You Will Support the development and delivery of AI service offerings for enterprise, research, and government customers. Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps. Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads. Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps. Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies. Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements. Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners. Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners. Act as the technical lead for AI-based infrastructure solutions, collaborating with the AI Practice leader throughout the service offering lifecycle, including: Assisting in the creation of new AI service offerings, from concept development to implementation guidance. Leading initial implementations alongside Technical Consultants. Deliver presentations in support of: Offering development and go-to-market strategies. Field enablement and training initiatives. Service delivery execution. Assist in documentation of project requirements, statements of work, and service descriptions. Collaborate with business partners to enhance AI solution capabilities and integration. Qualifications Bachelor's degree, MBA, or equivalent experience required. 7+ years of experience architecting and deploying AI/ML solutions. Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure. Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions. Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices. Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering. Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Certification in AI/ML technologies or cloud-based AI solutions preferred. Preferred Skills Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments. Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads. Experience designing and implementing highly available, secure, and scalable AI solutions. Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization. Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Experience with AI model monitoring, observability, and continuous learning frameworks. Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives. Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing. Experience in systems integration and managing direct/channel sales engagements. Strong understanding of AI containerization, workflow management, and cloud-based AI training. Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership. Experience in a customer-facing AI services environment, providing professional and managed services. TOGAF 9 Certified or equivalent architecture framework certification preferred. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

Company Description NEC Software Solutions (India) On 1st July 2021, Rave Technologies became NEC Software Solutions India. This change brought us under the global NEC Corporation brand. We are proud to be part of an organisation with 122 years of experience in evolution with technology and innovation. We have more than 30 years of experience in providing end to end IT services across the globe and have earned a reputation for delighting our customers by consistently surpassing expectations and helping them deliver robust, market-ready software products that meet the highest standards of engineering and user experience. Supported by more than 1300 exceptionally talented manpower, we are a hub for offshore support and technology services. We work with diverse industry verticals which include publishing, media, financial services, retail, healthcare and technology companies around the world. Our customers range from two-person startups to $bn listed companies. For more information, visit at www.necsws.com/india. About NEC Corporation NEC Corporation is a Japanese multinational information technology and electronics company, headquartered in Tokyo, Japan. It is recognised as a ‘Top 50 Innovative Company’ globally and the NEC Group globally provides “Solutions for Society” that promote the safety, security, fairness and equality of society. Their main goal is to help create a safer society with their innovations in technologies. NEC Corporation has established itself as a leader in the integration of IT and network technologies while promoting the brand statement of “Orchestrating a brighter world.” NEC enables businesses and communities to adapt to rapid changes taking place in both society and the market as it provides for the social values of safety, security, fairness and efficiency to promote a more sustainable world where everyone has the chance to reach their full potential. For more information, visit NEC at https://www.nec.com. Job Description The candidate will be mainly working on architect and development activities for the project. Qualifications Experience: 10 to 15 years The Successful Candidate Will Be Good logical skills Excellent understanding of architecture patterns used for designing Web products Develop and deliver architectural blueprints for functional requirements Experience in requirement analysis and deriving business functionalities. Experience on estimating, designing and developing complex software solutions using C++/C# technologies Experience of working on Microsoft Technologies, IDEs and various DevOps tools Ability to collaborate effectively with stakeholders (Product Owner, higher management and technical team) that is familiar to them e.g. by using terminology with which they are familiar and minimizing the use of unnecessary ‘technical jargon’ A self-starter with an insatiable desire to resolve issues promptly and satisfactorily. Mandatory Technologies C++: With at least 8+ years hands-on experience (Priority 1) C# .NET, .NET Framework, MVC ASP.NET : With at least 8+ years hands-on experience (Priority 1) WPF, WCF: With at least 4+ years hands-on experience (Priority 3) Desirable Technologies SQL Server : With at least 5+ years hands-on experience (Priority 2) RabbitMQ/ActiveMQ : With at least 5+ years hands-on experience (Priority 2) Git GitHub: With at least 2+ years hands-on experience (Priority 2) NVIDIA CUDA: With at least 3+ years hands-on experience (Priority 2) Additional Information Show more Show less

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that powers all AI research across NVIDIA. We seek an expert to build and operate these clusters at high reliability, efficiency, and performance and drive foundational improvements and automation to improve researchers productivity. As a Site Reliability Engineer, you are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow. What You'll Be Doing In this role you will be building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions. You will also be maintaining and building deep learning AI-HPC GPU clusters at scale and supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. You will design, implement and support operational and reliability aspects of large scale distributed systems with focus on performance at scale, real time monitoring, logging, and alerting. Design and implement state-of-the-art GPU compute clusters. Optimize cluster operations for maximum reliability, efficiency, and performance. Drive foundational improvements and automation to enhance researcher productivity. Troubleshoot, diagnose, and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners. Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. Practice sustainable incident response and blameless postmortems and Be part of an on-call rotation to support production systems Write and review code, develop documentation and capacity plans, debug the hardest problems, live, on some of the largest and most complex systems in the world. Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log and Manage upgrades and automated rollbacks across all clusters. What We Need To See Bachelor’s degree in computer science, Electrical Engineering or related field or equivalent experience with a minimum 5+ years of experience designing and operating large scale compute infrastructure. Proven experience in site reliability engineering for high-performance computing environments with operational experience of at least 2K GPUs cluster. Deep understanding of GPU computing and AI infrastructure. Passion for solving complex technical challenges and optimizing system performance. Experience with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm. Working knowledge of cluster configuration management tools such as BCM or Ansible and infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc. In depth understating of container technologies like Docker, Enroot, etc. Experience programming in Python and Bash scripting. Ways To Stand Out From The Crowd Interest in crafting, analyzing, and fixing large-scale distributed systems. Familiarity with NVIDIA GPUs, Cuda Programming, NCCL, MLPerf benchmarking, InfiniBand with IBoIP and RDMA. Experience with Cloud Deployment, BCM, Terraform. Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads. Multi-cloud experience. JR1993564 Show more Show less

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Machine Learning Scientist The Machine Learning Scientist is critical to the AI Core team by creating AI models from the ground up and steering model development through every stage, leading to the fulfilment of the research objective. Responsibilities: Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders etc. appropriate for the research objective Develop training strategies (e.g., self-supervised learning, few-shot learning) - Optimize loss functions and metrics for performance, manage hyperparameter tuning - Optimize training pipelines and debug training failures - Develop reproducible training/evaluation pipelines. Skills: Expertise in PyTorch/TensorFlow or other frameworks Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN) Experience with ML experiment tracking (W&B, MLflow etc.) Experience with RL frameworks (Stable Baselines3, Ray RLlib) Passion: Building AI agents with superior capabilities Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field. 4+ years of experience in machine learning and deep learning Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Networks involving very large matrix operations About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

Overview: Seeking an engineer to build and optimize high-throughput, low-latency LLM inference infrastructure using open-source models (Qwen, LLaMA, Mixtral) on multi-GPU systems (A100/H100). You’ll own performance tuning, model hosting, routing logic, speculative decoding, and cost-efficiency tooling. Must-Have Skills: Deep experience with vLLM, tensor/pipe parallelism, KV cache management Strong grasp of CUDA-level inference bottlenecks, FlashAttention2, quantization Familiarity with FP8, INT4, speculative decoding (e.g., TwinPilots, PowerInfer) Proven ability to scale LLMs across multi-GPU nodes (TP, DDP, inference routing) Python (systems-level), containerized deployments (Docker, GCP/AWS), load testing (Locust) Bonus: Experience with any-to-any model routing (e.g., text2sql, speech2text) Exposure to LangGraph, Triton kernels, or custom inference engines Has tuned models for <$0.50/M token inference at scale Highlight: Very good rate card for the best candidate fit. Show more Show less

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're building the future of sustainable food production. Our mission is to convert the world's existing greenhouses into unmanned facilities that can produce fresh food year-round - addressing the critical need to double food production by 2050 while facing severe labor shortages, water scarcity, and climate challenges. About the Role Join our world-class robotics team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll work on cutting-edge autonomous systems that combine advanced perception, precise manipulation, and intelligent decision-making to perform complex agricultural tasks like harvesting, deleafing, and crop monitoring. As a Robotics Engineer at Eternal, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. Our unique approach leverages cloud-based simulation, over-the-air updates, and modular hardware design to achieve what others have spent decades attempting. We believe in nurturing talent at all levels - from fresh graduates to seasoned professionals. You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, building on proven technology while pushing the boundaries of what's possible in agricultural robotics. What You'll Do Design and implement robust robotics software using ROS2 and modern C++ for autonomous navigation, manipulation, and perception in dynamic greenhouse environments Develop and validate algorithms in NVIDIA Isaac Sim before deploying to our fleet of robots, dramatically reducing development cycles from months to days Create intelligent systems that enable robots to make real-time decisions about crop work, from identifying ripe tomatoes to determining optimal cutting points Build resilient architectures that ensure continuous operation even with connectivity disruptions, supporting our 24/7 autonomous operations Integrate computer vision models with robotic control systems to enable precise manipulation of delicate crops without damage Implement over-the-air update systems that allow us to deploy new capabilities remotely to robots worldwide Collaborate cross-functionally with AI/ML engineers, mechanical engineers, and crop scientists to deliver end-to-end solutions Qualifications Core Requirements (All Levels) Bachelor's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field (or graduating by Summer 2025) Proficiency in C++ programming or demonstrated ability to upskill quickly Exposure to ROS/ROS2 through real-world implementations, projects, internships or coursework Understanding of core robotics concepts: kinematics, dynamics, control theory, and path planning Familiarity with Linux environments Passion for solving complex real-world problems with tangible impact Experience Levels New Graduate / Entry Level (0-2 years) Recent graduate or final year student with strong academic performance Hands-on robotics experience through internships, research projects, or student competitions Demonstrated programming skills in C++ through coursework or personal projects Eagerness to learn and grow in a fast-paced startup environment Early Career (2-5 years) Solid foundation in robotics fundamentals with professional experience Experience with at least one robotics project from conception to deployment Proficiency with ROS2 and simulation tools (Gazebo, Isaac Sim, or similar) Senior Level (5-8 years) Proven track record of deploying robotic systems in production environments Experience with sensor fusion, SLAM, or advanced perception algorithms Knowledge of safety-critical system design and failure mode analysis Ability to mentor junior engineers and lead technical initiatives Staff/Principal Level (8+ years) Technical leadership experience with complex robotics programs Deep expertise in multiple robotics domains (perception, planning, control) Strategic thinking about system architecture and technology roadmaps Track record of building and scaling high-performance engineering teams Preferred Qualifications Experience with NVIDIA Isaac Sim or Omniverse for robotics simulation GPU programming skills (CUDA) for accelerating perception algorithms Knowledge of modern AI/ML frameworks and their application to robotics Experience with modular hardware design and systems integration Participation in robotics competitions (RoboCup, FIRST, etc.) or research publications Open source contributions to robotics projects Why Eternal? Launch Your Career : For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial robotics systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale : Your work will directly contribute to solving global food security challenges. We're building technology to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence : Work with cutting-edge technology including ROS2, NVIDIA Isaac Sim, and custom AI models for advanced computer vision and decision-making. Rapid Innovation : Our software-first approach means you'll see your code deployed to real robots in hours/days, not months. We've proven we can develop and deploy new AI models over-the-air as crops evolve. Strong Foundation : Building on 5+ years of real-world greenhouse robotics experience, we're avoiding common pitfalls in robotics deployment while accelerating development. Growth Opportunity : Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of horticultural automation. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning : Work alongside experienced roboticists who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of robotics development. Flexible Work Culture : Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations. Our Tech Stack Core : ROS2, C++ Simulation : NVIDIA Isaac Sim, Omniverse AI/ML : Computer Vision, Deep Learning, PyTorch Infrastructure : Cloud-native architecture, OTA update systems Hardware : Modular robotic platforms built for scale Apply Now Ready to revolutionize how the world grows food? Whether you're starting your career or looking to make a bigger impact, join us in building autonomous systems that will feed billions while conserving resources and eliminating the dependency on seasonal labor. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're building the future of sustainable food production. Our mission is to convert the world's existing greenhouses into unmanned facilities that can produce fresh food year-round - addressing the critical need to double food production by 2050 while facing severe labor shortages, water scarcity, and climate challenges. About the Role Join our world-class computer vision team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll develop cutting-edge perception systems that enable robots to understand and interact with complex greenhouse environments - from identifying ripe produce to detecting plant diseases and optimizing crop health. As a Computer Vision Engineer at Eternal, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. You'll work at the intersection of classical computer vision and modern deep learning, creating perception systems that operate reliably in challenging agricultural environments with varying lighting, occlusions, and organic variability. You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, pushing the boundaries of what's possible in agricultural computer vision while delivering practical solutions that work 24/7 in production environments. What You'll Do Design and implement robust computer vision algorithms for crop detection, ripeness assessment, and precise localization in dynamic greenhouse environments Develop deep learning models for multi-class segmentation, object detection, and tracking of plants, fruits, and agricultural structures Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy Build intelligent systems that adapt to varying environmental conditions, including changes in lighting, plant growth stages, and seasonal variations Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency Implement continuous learning systems that improve model performance through data collected from our deployed robot fleet Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions Qualifications Core Requirements (All Levels) Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or graduating by Summer 2025) Strong programming skills in C++ and/or Python for computer vision applications Understanding of fundamental computer vision concepts: image processing, feature detection, camera calibration, and 3D geometry Experience with deep learning frameworks (PyTorch, TensorFlow) and classical CV libraries (OpenCV) Familiarity with Linux environments and version control systems Passion for solving complex real-world problems with tangible impact Experience Levels New Graduate / Entry Level (0-2 years) Recent graduate or final year student with strong academic performance Hands-on computer vision experience through internships, research projects, or competitions Demonstrated programming skills through coursework or personal projects Understanding of CNNs and basic deep learning architectures Early Career (2-5 years) Solid foundation in both classical and deep learning-based computer vision Experience deploying at least one vision system from research to production Proficiency with modern architectures (YOLO, Mask R-CNN, Vision Transformers) Understanding of model optimization techniques and edge deployment Senior Level (5-8 years) Proven track record of deploying vision systems in production environments Experience with 3D vision, multi-sensor fusion, or SLAM algorithms Knowledge of model optimization for embedded systems (quantization, pruning, distillation) Ability to mentor junior engineers and lead technical initiatives Staff/Principal Level (8+ years) Technical leadership experience with complex perception systems Deep expertise across multiple vision domains (2D/3D, classical/learning-based) Strategic thinking about perception architecture and technology roadmaps Track record of building and scaling high-performance computer vision teams Preferred Qualifications Experience with agricultural or outdoor computer vision applications Knowledge of 3D sensors (stereo cameras, LiDAR, structured light) GPU programming skills (CUDA) for accelerating vision algorithms Experience with vision-language models or foundation models Familiarity with ROS2 for perception system integration Publications at top-tier computer vision conferences (CVPR, ICCV, ECCV) Open source contributions to computer vision projects Why Eternal? Launch Your Career : For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial vision systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale : Your perception algorithms will directly enable robots to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence : Work with state-of-the-art computer vision technology including modern deep learning architectures, 3D perception, and multi-modal sensor fusion. Rapid Innovation : Our software-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over-the-air as crops evolve. Unique Challenges : Tackle perception problems that combine the complexity of outdoor vision (varying lighting, weather) with the precision requirements of industrial automation. Growth Opportunity : Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of agricultural perception. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning : Work alongside experienced computer vision engineers who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of vision system development. Flexible Work Culture : Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations. Our Tech Stack Vision Libraries : OpenCV, PCL, Open3D Deep Learning : PyTorch, TensorFlow, ONNX Deployment : TensorRT, OpenVINO, ONNX Runtime Sensors : RGB cameras, stereo vision, depth sensors Infrastructure : Cloud-native training pipelines, edge deployment systems Integration : ROS2 for robotic system integration Apply Now Ready to revolutionize how the world grows food through advanced computer vision? Whether you're starting your career or looking to make a bigger impact, join us in building perception systems that will enable sustainable food production for billions. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.

Job Requirements We are seeking an experienced Embedded Validation Engineer with expertise in Advanced Driver Assistance Systems (ADAS), perception algorithms, dSPACE, and NVIDIA platforms . The ideal candidate will be responsible for validating embedded software, testing perception models, and ensuring the robustness of ADAS functionalities across different hardware platforms. Key Responsibilities Embedded Software Validation: Develop and execute test plans, test cases, and test automation for ADAS and perception systems. Validate embedded software running on dSPACE Scalexio, NVIDIA Jetson, and other automotive platforms. Conduct Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-level testing. Perform real-time debugging, issue analysis, and defect tracking. ADAS & Perception System Testing Validate sensor fusion, object detection, lane detection, and path planning algorithms. Ensure performance benchmarking of camera, LiDAR, and radar-based perception models. Work closely with AI/ML teams to validate deep learning-based perception models. DSPACE & NVIDIA Platform Expertise Work with dSPACE Scalexio, ControlDesk, and AutomationDesk for validation tasks. Validate and optimize CUDA, TensorRT, and ROS-based perception models on NVIDIA Jetson. Develop custom test frameworks and automation scripts for validation. Cross-functional Collaboration & Documentation Work closely with software developers, system architects, and hardware engineers. Provide technical reports, validation summaries, and defect analysis documentation. Participate in customer discussions and requirement analysis. Work Experience 6-8 years of experience in embedded validation, preferably in ADAS and perception systems. Strong hands-on experience with dSPACE Scalexio, NVIDIA Jetson (Xavier/Orin), and MATLAB/Simulink. Experience with HiL/SiL/MiL testing and validation tools. Expertise in Python, C++, MATLAB scripting, and automation frameworks. Familiarity with AUTOSAR, ROS, and functional safety standards (ISO 26262). Experience with CANoe, CANalyzer, and automotive communication protocols (CAN, Ethernet, LIN). Strong debugging skills with JTAG, debuggers, and real-time OS profiling tools. Preferred Qualifications Experience in AI/ML model validation and deep learning-based perception. Hands-on with Docker, TensorRT, OpenCV, and CUDA optimizations. Show more Show less

Job Requirements Key Responsibilities: Implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS. Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems. Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data. Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM. Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors. Contribute to the development of robust motion planning and navigation systems. Work with software stacks like ROS2 (Robot Operating System 2) for integration and deployment of perception algorithms. Develop, test, and deploy machine learning models for perception tasks (e.g., object detection, segmentation). Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions. Stay up-to-date with industry trends, research papers, and emerging technologies to innovate and improve perception systems. Work Experience Required Skills: Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities. Understanding of LiDAR technology, point cloud data structures, and processing techniques Proficiency in programming languages such as C/C++, Python, or similar. In-depth knowledge of sensor fusion techniques (Kalman Filters, Extended Kalman Filters, Unscented Kalman Filters, Particle Filters) for combining data from LiDAR, camera, radar, and GNSS. Solid background in computer vision techniques (e.g., object detection, semantic segmentation, feature extraction). Experience in deep learning frameworks such as TensorFlow or PyTorch for object detection and segmentation tasks. Knowledge of SLAM (Simultaneous Localization and Mapping) and localization algorithms, including GraphSLAM, LIO-SAM, GTSAM, ORB-SLAM, and related technologies. Familiarity with ROS2 for the development of perception-based robotic systems and autonomous vehicles. Experience with multi-object tracking algorithms such as DeepSORT, SORT, and Kalman Filter-based tracking. Strong understanding of real-time systems and optimizing for low-latency processing. Proficiency in sensor calibration techniques and algorithms for both intrinsic and extrinsic calibration of LiDAR, cameras, radar, and GNSS. Hands-on experience with PCL (Point Cloud Library) and OpenCV for 3D point cloud and image processing. Experience with parallel computing and optimizing algorithms for real-time performance (e.g., CUDA, OpenCL). Experience with object detection models such as YOLO , Faster R-CNN , SSD , or similar. Show more Show less

Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale. Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. Optimize algorithm performance and resource utilization to meet business objectives. Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems. Drive continuous improvement in development processes, tools, and methodologies. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm. Familiar with high performance computing, parallel programming and distributed systems. Strong leadership and team management skills, with a track record of successfully leading engineering teams. Proficiency in programming languages such as Python, C++ and CUDA. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Qualifications Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications Bachelor's degree plus 8 + years of experience Master's degree plus 8 + years of experience Familiar with high performance computing, parallel programming and distributed systems. Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). 8 years experience in any of the programming languages such as Python/C++/CUDA. 8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. 5 years exp in Image processing Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) #AI Manager#Machine Learning#image processing#Computer vision Show more Show less

Senior Platform Engineer We’re hiring a Senior Platform Engineer – ML Infrastructure in the AI/ML infrastructure and deep-tech industry . We’re seeking an experienced engineer to join our core infrastructure team. This role will be critical in designing and scaling the foundational systems that power AI products. If you're passionate about building robust, efficient, and innovative ML infrastructure, we’d love to hear from you. What you’ll do Design, build and operate scalable ML & data infrastructure across on‑prem and cloud (AWS/Azure/GCP). Stand‑up and automate multi‑node Kubernetes + GPU clusters; keep them healthy and cost‑efficient. Create golden‑path CI/CD & MLOps pipelines (Kubeflow/Flyte/Ray) for training, serving, RAG and agentic workflows. Partner with ML engineers to debug thorny CUDA/K8s issues before they hit prod. Champion IaC (Terraform/Pulumi) and config‑as‑code (Ansible) standards. Mentor developers on platform best‑practices and drive a platform‑first mindset. What makes you a great fit 5 + yrs DevOps/SRE/Platform engineering; 2 + with ML infra at scale. Deep hands‑on with Docker, Kubernetes, Helm and kube‑native tooling. Comfort with distributed GPU scheduling, CUDA drivers and networking. Strong Terraform/Pulumi, Ansible, Bash/Python skills. Experience operating data lakes, high‑availability databases and object stores. Familiarity with ML orchestration (Kubeflow, Flyte, Prefect) and model registries. Working knowledge of RAG, LLM fine‑tuning or agentic frameworks is a big plus. Nice to have Experience with Ray, Spark, or Dask. Security & RBAC design chops. OSS contributions in the cloud‑native / MLOps space. Skills: Data,ML,Computing Show more Show less

Senior Platform Engineer We’re hiring a Senior Platform Engineer – ML Infrastructure in the AI/ML infrastructure and deep-tech industry . We’re seeking an experienced engineer to join our core infrastructure team. This role will be critical in designing and scaling the foundational systems that power AI products. If you're passionate about building robust, efficient, and innovative ML infrastructure, we’d love to hear from you. What you’ll do Design, build and operate scalable ML & data infrastructure across on‑prem and cloud (AWS/Azure/GCP). Stand‑up and automate multi‑node Kubernetes + GPU clusters; keep them healthy and cost‑efficient. Create golden‑path CI/CD & MLOps pipelines (Kubeflow/Flyte/Ray) for training, serving, RAG and agentic workflows. Partner with ML engineers to debug thorny CUDA/K8s issues before they hit prod. Champion IaC (Terraform/Pulumi) and config‑as‑code (Ansible) standards. Mentor developers on platform best‑practices and drive a platform‑first mindset. What makes you a great fit 5 + yrs DevOps/SRE/Platform engineering; 2 + with ML infra at scale. Deep hands‑on with Docker, Kubernetes, Helm and kube‑native tooling. Comfort with distributed GPU scheduling, CUDA drivers and networking. Strong Terraform/Pulumi, Ansible, Bash/Python skills. Experience operating data lakes, high‑availability databases and object stores. Familiarity with ML orchestration (Kubeflow, Flyte, Prefect) and model registries. Working knowledge of RAG, LLM fine‑tuning or agentic frameworks is a big plus. Nice to have Experience with Ray, Spark, or Dask. Security & RBAC design chops. OSS contributions in the cloud‑native / MLOps space. Skills: Data,ML,Computing Show more Show less

Senior Platform Engineer We’re hiring a Senior Platform Engineer – ML Infrastructure in the AI/ML infrastructure and deep-tech industry . We’re seeking an experienced engineer to join our core infrastructure team. This role will be critical in designing and scaling the foundational systems that power AI products. If you're passionate about building robust, efficient, and innovative ML infrastructure, we’d love to hear from you. What you’ll do Design, build and operate scalable ML & data infrastructure across on‑prem and cloud (AWS/Azure/GCP). Stand‑up and automate multi‑node Kubernetes + GPU clusters; keep them healthy and cost‑efficient. Create golden‑path CI/CD & MLOps pipelines (Kubeflow/Flyte/Ray) for training, serving, RAG and agentic workflows. Partner with ML engineers to debug thorny CUDA/K8s issues before they hit prod. Champion IaC (Terraform/Pulumi) and config‑as‑code (Ansible) standards. Mentor developers on platform best‑practices and drive a platform‑first mindset. What makes you a great fit 5 + yrs DevOps/SRE/Platform engineering; 2 + with ML infra at scale. Deep hands‑on with Docker, Kubernetes, Helm and kube‑native tooling. Comfort with distributed GPU scheduling, CUDA drivers and networking. Strong Terraform/Pulumi, Ansible, Bash/Python skills. Experience operating data lakes, high‑availability databases and object stores. Familiarity with ML orchestration (Kubeflow, Flyte, Prefect) and model registries. Working knowledge of RAG, LLM fine‑tuning or agentic frameworks is a big plus. Nice to have Experience with Ray, Spark, or Dask. Security & RBAC design chops. OSS contributions in the cloud‑native / MLOps space. Skills: Data,ML,Computing Show more Show less

We are seeking a Developer with a strong background in C++, CUDA programming, & Linux to guide the development team in building cutting-edge solutions for device integration & high-performance computing tasks. This is a contractual role for 1 year. Required Candidate profile Location- Kandivali, Mumbai (Only local candidates are acceptable). Must have end-to-end experience in C++, (C++11/14/17/20) and Experience in developing, debugging, and optimizing CUDA applications.

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit www.lenovo.com and read about the latest news via our StoryHub. Position Description Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services. The chosen candidate will be part of Lenovo Solutions Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses. This role is primarily internal but includes some customer-facing work. This is a remote-only role. In This Role You Will Support the development and delivery of AI service offerings for enterprise, research, and government customers. Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps. Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads. Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps. Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies. Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements. Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners. Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners. Act As The Technical Lead For AI-based Infrastructure Solutions, Collaborating With The AI Practice Leader Throughout The Service Offering Lifecycle, Including Assisting in the creation of new AI service offerings, from concept development to implementation guidance. Leading initial implementations alongside Technical Consultants. Deliver Presentations In Support Of Offering development and go-to-market strategies. Field enablement and training initiatives. Service delivery execution. Assist in documentation of project requirements, statements of work, and service descriptions. Collaborate with business partners to enhance AI solution capabilities and integration. Qualifications Bachelor's degree, MBA, or equivalent experience required. 7+ years of experience architecting and deploying AI/ML solutions. Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure. Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions. Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices. Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering. Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Certification in AI/ML technologies or cloud-based AI solutions preferred. Preferred Skills Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments. Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads. Experience designing and implementing highly available, secure, and scalable AI solutions. Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization. Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Experience with AI model monitoring, observability, and continuous learning frameworks. Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives. Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing. Experience in systems integration and managing direct/channel sales engagements. Strong understanding of AI containerization, workflow management, and cloud-based AI training. Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership. Experience in a customer-facing AI services environment, providing professional and managed services. TOGAF 9 Certified or equivalent architecture framework certification preferred. You will report to SSG (Solutions Services Group) organization structure. SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit www.lenovo.com and read about the latest news via our StoryHub. Position Description Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services. The chosen candidate will be part of Lenovo Solutions Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses. This role is primarily internal but includes some customer-facing work. This is a remote-only role. In This Role You Will Support the development and delivery of AI service offerings for enterprise, research, and government customers. Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps. Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads. Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps. Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies. Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements. Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners. Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners. Act As The Technical Lead For AI-based Infrastructure Solutions, Collaborating With The AI Practice Leader Throughout The Service Offering Lifecycle, Including Assisting in the creation of new AI service offerings, from concept development to implementation guidance. Leading initial implementations alongside Technical Consultants. Deliver Presentations In Support Of Offering development and go-to-market strategies. Field enablement and training initiatives. Service delivery execution. Assist in documentation of project requirements, statements of work, and service descriptions. Collaborate with business partners to enhance AI solution capabilities and integration. Qualifications Bachelor's degree, MBA, or equivalent experience required. 7+ years of experience architecting and deploying AI/ML solutions. Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure. Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions. Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices. Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering. Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Certification in AI/ML technologies or cloud-based AI solutions preferred. Preferred Skills Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments. Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads. Experience designing and implementing highly available, secure, and scalable AI solutions. Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization. Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Experience with AI model monitoring, observability, and continuous learning frameworks. Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives. Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing. Experience in systems integration and managing direct/channel sales engagements. Strong understanding of AI containerization, workflow management, and cloud-based AI training. Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership. Experience in a customer-facing AI services environment, providing professional and managed services. TOGAF 9 Certified or equivalent architecture framework certification preferred. You will report to SSG (Solutions Services Group) organization structure. SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Firefly GenAI engineering team is looking for a passionate ML Engineer to enable and accelerate the Adobe GenAI creative flows powered by pioneering machine learning models. Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary content creation applications: Firefly, PPro, Express, Photoshop, Podcast and others. This is a unique opportunity to work on powerful new and innovative generative technologies. In this role, you will work closely with ML researchers, bringing groundbreaking AI experiences to our users by enabling large-scale productisation through cloud based services. Responsibilities Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Work on large-scale stateful and stateless distributed systems for AI workflows with cost efficient strategies Collaborate closely with data scientists and engineers to ensure the GenAI services are effectively integrated into Adobe products and systems Ensure scalable and reliable cloud services with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe`s GenAI engineering effectiveness and efficiency Requirements 10+ years of experience Excellent programming skills (Python) Proven programming skills with standard machine learning tools such as Python, PyTorch, and TensorFlow Experience in pioneering Generative AI technologies, such as diffusion and/or GAN models Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases Advanced understanding of AI/ML, including ML frameworks Passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device Bachelor’s / Masters degree in engineering Bonus Experience with GPU optimization ( CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Must-Haves Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). 8 years experience in any of the programming languages such as Python/C++/CUDA. 8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. 5 years exp in Image processing Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) No job hoppers(candidate must have good stability- min 2 years in an organisation) No Poach - HCL (current company must not be HCL) Relocation to Chennai is mandatory No Poach Clients (Plus Other Strict No-Nos) HCL Nice To Haves Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Target Companies product companies/Semicon or any electrical or HW manufacturing companies. Additional Guidelines Interview Process: 3 Tech rounds, Fitment round, HR round. Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate. Skills: python,deep learning,c++,image processing,learning,machine learning,computer vision,manufacturing,cuda,artificial intelligence Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The Person Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. Key Responsibilities Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems Apply your knowledge of software engineering best practices Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Experiences to run workloads on large scale heterogeneous cluster is a plus Experiences to optimize GPU kernels for performance is a plus Academic Credentials Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 The Role This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions. This is a phenomenal opportunity to work in an outstanding company like AMD. The Person You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. Key Responsibilities Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less