439 Cuda Jobs - Page 3

He will works on Surfscan IMC(Image Computing) subsystem team and specializes in software design, development and integration of current and next generation high performance computing cluster used by Surfscan tools to acquire and process large amounts of data which will enable to deliver value to KLA customers. Regular duties include - attending Design Meetings, developing software components, and driving integration of different software modules. He will be primarily working on C++ under Linux , Intel MPI, Cuda, Dockers and Kubernetes. He will be using tools like gdb for debugging, Github and RTC for managing code. Minimum Qualifications Doctorate (Academic) or work experience of 0 years , Master's Level Degree or work experience of 2 years , Bachelor's Level Degree or work experience of 3 years

Job Description/Preferred Qualifications Key Responsibilities: 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.

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client's Core Engineering team at Thane (Maharashtra – India). The ideal candidate should have 12–15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. Design and orchestrate agentic AI workflows—enabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed “invisible intelligence” within secure wearable systems. Must have 12–15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) Proficient in agentic AI workflows—multi-agent orchestration, planning, feedback loops Strong in privacy-preserving AI (federated learning, differential privacy) Secure real-time comms (WebRTC, SIP, RTP) Nice to have: Experience with MCP or similar protocol frameworks Background in wearables/XR or smart glass AI platforms Expertise in platform security architectures (sandboxing, auditability)

As a Software System Designer 2 at AMD, you will play a crucial role in contributing to the development of next-generation computing experiences across various industries such as data center, artificial intelligence, PCs, gaming, and embedded systems. You will have the opportunity to work with cutting-edge AMD technologies and be a part of a dynamic team that is dedicated to delivering innovative solutions. In this role, you will be responsible for performance analysis and software optimization, building and deploying software for high-performance computing, data science, virtualization, and machine learning platforms. You will also be involved in defining, developing, and executing regression test models, driving innovation in production software environments, and exploring novel approaches to solve complex problems in heterogeneous computing. The ideal candidate for this position is a self-starter with a keen eye for detail and the ability to multitask effectively. You should possess strong communication and presentation skills, along with a passion for pushing the boundaries of software development on innovative platforms. With 3 to 15 years of experience, you should have a good understanding of test lifecycle, QA processes, and terminology. Preferred experience includes knowledge of device drivers, graphics, multimedia, and codecs, as well as proficiency in at least one programming language, preferably Python. Hands-on experience with Linux OS internals, device management, and issue debugging skills are essential. Familiarity with parallel programming languages like OpenCL, ROCm, CUDA, and OpenACC, as well as machine learning and artificial intelligence technologies, is a plus. You should hold a Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or a related field to qualify for this role. Strong analytical, problem-solving, and interpersonal skills are necessary, along with excellent verbal and written communication abilities. A positive attitude, result-driven mindset, and the ability to work with next-gen technology are key attributes for success in this position. If you are looking to be part of a forward-thinking team at AMD that is dedicated to pushing the boundaries of innovation and technology, this role offers an exciting opportunity to make a meaningful impact in the industry.,

As a Machine Learning Engineer specializing in Computer Vision, you will play a crucial role in designing, developing, and deploying cutting-edge computer vision models and algorithms for real-world robotic applications. Working alongside a talented team, you will utilize state-of-the-art deep learning techniques to solve complex vision problems ranging from object detection to image segmentation and 3D perception. Your contributions will directly influence the evolution of intelligent systems within the field of robotics. This position is based on-site in Pune and requires immediate availability for joining within one month. Qualifications: - Educational Background: B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with a minimum of 2 years of hands-on experience in Computer Vision and Machine Learning. Alternatively, an M.S. or M.Tech. in the same disciplines with 2 years of practical experience in Computer Vision and Python programming. - Technical Expertise: You should possess strong experience in developing deep learning models and algorithms for various computer vision tasks, including object detection, image classification, segmentation, and keypoint detection. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Keras is essential. Additionally, experience with OpenCV for image processing and computer vision pipelines is required. A solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures such as YOLO, Mask R-CNN, and EfficientNet is expected. Ability to build, test, and deploy robust models using PyTest or PyUnit testing frameworks is necessary. Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data is also a key requirement. Familiarity with version control using Git is a plus. - Desirable Skills: Experience with 3D vision, stereo vision, or depth sensing technologies will be advantageous. Familiarity with ROS2 for integrating vision systems into robotic platforms, understanding of sensor fusion techniques (e.g., LiDAR, depth cameras, IMUs), exposure to MLOps for deploying and maintaining computer vision models in production environments, knowledge of CMake for building and integrating machine learning and vision-based solutions, experience with cloud-based solutions for computer vision, and ability to work with CUDA, GPU-accelerated libraries, and distributed computing environments are desirable skills. Location: This role is on-site in Pune, India, and immediate availability for joining is required. Why Join Us - Shape the future of robotics and AI by focusing on state-of-the-art computer vision applications. - Work in a dynamic and collaborative environment with a team of highly motivated engineers. - Competitive salary and benefits package, including performance-based incentives. - Opportunities for growth and professional development, including mentorship from industry experts. If you are passionate about leveraging deep learning and computer vision to develop intelligent systems that perceive and interact with the world, we look forward to hearing from you!,

🚀 We're Hiring a CTO (Equity-Only) | CASS AIOT Pvt. Ltd. Location: Surat, Gujarat Compensation: Equity Only (Founding Leadership Role) Industry: AI, Robotics, Industrial Automation, IoT 🧠 About CASS AIOT: CASS AIOT is building India’s first end-to-end AI + Robotics + IoT platform for industrial automation. From 6-axis robotic arms to computer vision-driven diamond polishing machines, we design and develop everything in-house —hardware, software, and intelligence. We’ve already: Built our own 6-axis robot from scratch Created computer-vision pipelines that outperform industry solutions Developed CASS One: our AIoT platform to digitize and automate factories Deployed solutions in diamonds, FMCG, logistics , and manufacturing We're now looking for a Co-Founder CTO to scale this to 1,000+ factories. 🛠️ What You’ll Do: Lead Engineering : Oversee all R&D and product development—robotics, embedded systems, AI/ML, and industrial software. Architect Scalable Systems : From GPU-based computer vision pipelines to edge-AI IoT firmware, you’ll guide end-to-end architecture. Build & Grow the Tech Team : Hire and mentor top talent across embedded, ROS, C++, Python, ML, cloud, and manufacturing automation. Collaborate Closely with Founder/CEO : Help raise funds, craft IP strategy, and turn vision into globally competitive products. IP & Compliance Leadership : Ensure our systems are patent-worthy, production-grade, and compliant with industrial protocols. ✅ Must-Have Skills:Tech Stack: ✅ C++, Python, ROS 1/2, Qt, OpenCV, GStreamer ✅ NVIDIA GPU stack (CUDA, TensorRT), YOLO or equivalent ✅ Embedded systems (STM32, ESP32, ARM), RTOS, Modbus, CAN, SPI/I2C ✅ Robotics (Forward/Inverse Kinematics, Motion Planning) ✅ AI/ML deployment for edge & industrial vision ✅ Real-time video processing, object tracking, and detection pipelines ✅ 3D Reconstruction, 3D Masking and overlaying Systems Design: ✅ IoT architecture (MQTT, REST, WebSockets, edge-to-cloud sync) ✅ Microservices and containerization (Docker, Kubernetes a plus) ✅ Production-grade firmware & industrial safety norms Soft Skills: 🔧 Hands-on builder attitude (you'll prototype, debug, and deploy) 🧠 Strong problem-solving in physical + virtual system integration 🧑‍💼 Team-building, conflict resolution, agile planning, roadmap ownership 📈 Visionary with startup grind mindset 🙌 What We Offer: Co-Founder Equity with future salary after funding Freedom to innovate, experiment, and lead Full support from founder, domain experts, and early adopters 💡 Bonus If You Have: Prior experience building robotics or AI startups Filed or published patents in AI, robotics, or embedded systems Scaled a product from prototype to manufacturing 📩 Interested? We’re not looking for just an employee. We want a visionary leader , an engineering generalist , and a co-founder who thrives on building from zero. DM Founder Parth Joshi directly or email us at parth@cassaiot.com with the subject line "CTO Application - [Your Name]" . Let’s build the future of Indian manufacturing—together.

Senior Staff Engineer/Principal Engineer/Manager - AIML/Hardware Accelerators Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. Senior Staff/Principal Engineer/Manager Machine Learning We are looking for a Senior Staff/Principal AI/ML Engineer/Manager with expertise in model inference , optimization , debugging , and hardware acceleration . This role will focus on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across diverse hardware platforms. In addition to hands-on engineering, this role involves cutting-edge research in efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques . You will explore and implement state-of-the-art AI acceleration methods while collaborating with researchers, industry experts, and open-source communities to push the boundaries of AI performance. This is an exciting opportunity for someone passionate about both applied AI development and AI research , with a strong focus on real-world deployment, model interpretability, and high-performance inference . Education & Experience: 17+ years of experience in AI/ML development, with at least 5 years in model inference, optimization, debugging, and Python-based AI deployment. Masters or Ph.D. in Computer Science, Machine Learning, AI Leadership & Collaboration Lead a team of AI engineers in Python-based AI inference development . Collaborate with ML researchers, software engineers, and DevOps teams to deploy optimized AI solutions. Define and enforce best practices for debugging and optimizing AI models Key Responsibilities Model Optimization & Quantization Optimize deep learning models using quantization (INT8, INT4, mixed precision etc), pruning, and knowledge distillation . Implement Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) for deployment. Familiarity with TensorRT, ONNX Runtime, OpenVINO, TVM AI Hardware Acceleration & Deployment Optimize AI workloads for Qualcomm Hexagon DSP, GPUs (CUDA, Tensor Cores), TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine . Leverage Python APIs for hardware-specific acceleration , including cuDNN, XLA, MLIR . Benchmark models on AI hardware architectures and debug performance issues AI Research & Innovation Conduct state-of-the-art research on AI inference efficiency, model compression, low-bit precision, sparse computing, and algorithmic acceleration . Explore new deep learning architectures (Sparse Transformers, Mixture of Experts, Flash Attention) for better inference performance . Contribute to open-source AI projects and publish findings in top-tier ML conferences (NeurIPS, ICML, CVPR). Collaborate with hardware vendors and AI research teams to optimize deep learning models for next-gen AI accelerators. Details of Expertise: Experience optimizing LLMs, LVMs, LMMs for inference Experience with deep learning frameworks : TensorFlow, PyTorch, JAX, ONNX. Advanced skills in model quantization, pruning, and compression . Proficiency in CUDA programming and Python GPU acceleration using cuPy, Numba, and TensorRT . Hands-on experience with ML inference runtimes (TensorRT, TVM, ONNX Runtime, OpenVINO) Experience working with RunTimes Delegates (TFLite, ONNX, Qualcomm) Strong expertise in Python programming , writing optimized and scalable AI code. Experience with debugging AI models , including examining computation graphs using Netron Viewer, TensorBoard, and ONNX Runtime Debugger . Strong debugging skills using profiling tools (PyTorch Profiler, TensorFlow Profiler, cProfile, Nsight Systems, perf, Py-Spy) . Expertise in cloud-based AI inference (AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi). Knowledge of hardware-aware optimizations (oneDNN, XLA, cuDNN, ROCm, MLIR, SparseML). Contributions to open-source community Publications in International forums conferences journals

What will you be responsible for? Specifically, we are looking for an experienced algorithm engineer with a solid understanding of machine learning, deep learning, TensorFlow along with a background knowledge of image processing or signal processing algorithms. This role is to enable our R&D groups to evaluate various parallel HW architectures (such as GPUs) and explore & design algorithms to ensure that the most critical KLA AI algorithms can run optimally. This is a technical hands-on and lead role in research and implementation of these techniques and delivering production quality code. In a nutshell the position requires a strong and versatile background in algorithmic thinking, advanced deep learning tuning, and research in optimization methods. The position also requires a person with significant communication and technical leadership skills and the ability to navigate from relatively high-level requirements to low level algorithmic models. This position also requires to technically mentor new and junior team members to come up to speed and contribute effectively in on-going projects. Job Description ACL is looking for a Senior Research Specialist, AI & ML to join its team to develop the next-generation Image Processing and Machine Vision solutions, leveraging the latest techniques in AI & ML to solve problems in the areas of defect detection, and metrology. Your Day-to-day Roles Understand existing computer-vision + AI solutions for defect detection and metrology, and identify limitations. Be in active touch with latest developments in computer-vision, image processing, and related fields in both academic and industry. Design, develop & demo proof-of-concept prototypes, and deploy new algorithms at scale to address the limitations of existing solutions. Collaborate with a global team in identifying new problems and develop novel solutions. Minimum Qualifications PhD in CS, EE, AI, or related fields with 3-5 years experience working in computer vision and related areas, or Masters Degree with 5-10 years working experience; candidates with less experience may be considered if they have a remarkable track record. Strong foundation and working knowledge on machine vision. Strong programmer skills with background in one or more of the following languages: Python, Java, C++, C Hands-on experience in model development, training, and deployment in modern AI frameworks such as TensorFlow, PyTorch, or JAX Ability to formulate problems into mathematical equations. Proficient scripting skills in Python, Bash, or similar. Go-getter attitude with curiosity to learn new advancements in the field of data science. Team player with good written and verbal communication skills. Things to Make us go Wow! Hands-on experience in developing infrastructure to enable training and deployment at-scale in in-house and cloud data-centres. Experience with writing performance-sensitive python programs using frameworks like Triton, polars, etc. Good track record of publications in leading conferences. Experience with programming and optimization in low-level programming languages like CUDA. Finally a strong background in Modern C++ concepts (C++ 11 through C++ 17), STL library would also be a way to stand out from the crowd.

Mercedes-Benz Research and Development, India is seeking Functional Engineers / Lead Engineers with a strong technical background in the areas of Camera, Parking Assistance & Driver Assistance Systems Key Job Responsibilities:- As a software developer /Function owner , you will deploy function in the automotive environment with complete ownership- To do this, you analyze the requirements and coordinate them with the System team- During implementation you observe functional safety according to the usual standards- In an international mixed team you develop the software according to the company standards- You will Conduct system and vehicle tests for functional validation- Complete ownership of the Software module Qualifications:- Masters/ Bachelors degree in Electronics and Communication/Electrical and Electronics/Computer Science- 4-7 years of experience in Embedded Product development and/or Automotive domain Key Skills and Experience:- Automotive System Engineering / Development experience- Minimum 4+ hands on experience on embedded software development- Experience in Product development life cycle- Software development from research to series development- Experience in one of the following areas Lidar /Radar/Camera systems , Park Assistant systems, ADAS systems- Know-How : CAN, CAN-FD (CAN tools), Flexray, Ethernet , Linux systems- Programing languages : C++, Python, Cuda- Basic knowledge on German language is preferred Qualifications To be filled by Hiring Manager

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our Core Engineering team at Thane (Maharashtra - India). The ideal candidate should have 12-15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows , LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Join us to craft the next generation of smart eyewear—by leading intelligent, autonomous, real-time workflows that operate seamlessly at the edge. Read more here: The smartphone era is peaking. The next computing revolution is here. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices Design and orchestrate agentic AI workflows—enabling autonomous agents with planning, tool usage, error handling, and closed feedback loops Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed "invisible intelligence" within secure wearable systems Minimum Work Experience Required: 12-15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture . Top 5 Skills You Should Possess: Expertise in TensorFlow, PyTorch, HuggingFace, ONNX, and optimization tools like TensorRT, TFLite Strong hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and Vector Databases (FAISS, Milvus) Deep understanding of Android/iOS integration, AOSP customization, and secure communication (WebRTC, SIP, RTP) Experience in Privacy-Preserving AI (Federated Learning, Differential Privacy) and secure AI APIs Proven track record in architecting and deploying agentic AI systems—multi-agent workflows, adaptive planning, tool chaining, and MCP (Model Context Protocol) Cross-Functional Collaboration Excellence: Partner with Platform & Security teams to define secure MCP server blueprints exposing device tools, sensors, and services with strong governance and traceability Coordinate with Mobile and AI teams to integrate agentic workflows across Android, iOS, and AOSP environments Work with Firmware and Product teams to define real-time sensor-agent interactions, secure data flows, and adaptive behavior in smart wearables What You'll Be Creating: Agentic, MCP-enabled pipelines for smart glasses—featuring intelligent agents for vision, context, planning, and secure execution Privacy-first AI systems combining edge compute, federated learning, and cloud integration A scalable, secure wearable AI platform that reflects our commitment to building purposeful and conscious technology Preferred Skills: Familiarity with secure real-time protocols: WebRTC, SIP, RTP Programming proficiency in C, C++, Java, Python, Swift, Kotlin, Objective-C, Node.js, Shell Scripting, CUDA (preferred) Experience designing AI platforms for wearables/XR with real-time and low-latency constraints Deep knowledge of MCP deployment patterns—secure token handling, audit trails, permission governance Proven leadership in managing cross-functional tech teams across AI, Firmware, Product, Mobile, and Security

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client's Core Engineering team at Thane (Maharashtra – India). The ideal candidate should have 12–15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ● Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ● Design and orchestrate agentic AI workflows—enabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ● Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed “invisible intelligence” within secure wearable systems. Must have 12–15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflows—multi-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have:  -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability)

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our Core Engineering team at Thane (Maharashtra – India). The ideal candidate should have 12–15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Join us to craft the next generation of smart eyewear—by leading intelligent, autonomous, real-time workflows that operate seamlessly at the edge. Read more here: The smartphone era is peaking. The next computing revolution is here. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. Design and orchestrate agentic AI workflows—enabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed “invisible intelligence” within secure wearable systems. Minimum Work Experience Required: 12–15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Top 5 Skills You Should Possess: Expertise in TensorFlow, PyTorch, HuggingFace, ONNX, and optimization tools like TensorRT, TFLite. Strong hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and Vector Databases (FAISS, Milvus). Deep understanding of Android/iOS integration, AOSP customization, and secure communication (WebRTC, SIP, RTP). Experience in Privacy-Preserving AI (Federated Learning, Differential Privacy) and secure AI APIs. Proven track record in architecting and deploying agentic AI systems—multi-agent workflows, adaptive planning, tool chaining, and MCP (Model Context Protocol). Cross-Functional Collaboration Excellence: Partner with Platform & Security teams to define secure MCP server blueprints exposing device tools, sensors, and services with strong governance and traceability. Coordinate with Mobile and AI teams to integrate agentic workflows across Android, iOS, and AOSP environments. Work with Firmware and Product teams to define real-time sensor-agent interactions, secure data flows, and adaptive behavior in smart wearables. What You’ll Be Creating: Agentic, MCP-enabled pipelines for smart glasses—featuring intelligent agents for vision, context, planning, and secure execution. Privacy-first AI systems combining edge compute, federated learning, and cloud integration. A scalable, secure wearable AI platform that reflects our commitment to building purposeful and conscious technology. Preferred Skills: Familiarity with secure real-time protocols: WebRTC, SIP, RTP. Programming proficiency in C, C++, Java, Python, Swift, Kotlin, Objective-C, Node.js, Shell Scripting, CUDA (preferred). Experience designing AI platforms for wearables/XR with real-time and low-latency constraints. Deep knowledge of MCP deployment patterns—secure token handling, audit trails, permission governance. Proven leadership in managing cross-functional tech teams across AI, Firmware, Product, Mobile, and Security

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! #FireflyGenAI 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 about our vision here. 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.

As an Application Software Engineer at Oceaneering India Center, you will be part of a dynamic and proactive software team. You will have the opportunity to work on various projects and enhance your technical skills. Your primary responsibility will be to design, develop, and maintain server-side software systems and APIs using programming languages such as C++, Python, and Rust. You will ensure that the software systems meet customer specifications and work within their site constraints. **Essential Duties And Responsibilities:** - Design, develop, and maintain server-side software systems and APIs. - Write efficient, scalable, and maintainable code using C++, Python, and Rust (Optional). - Extensive design and development skills in C++ 11, with knowledge of C++ 14/C++17 being an added advantage. - Thorough understanding of the standard library, STL containers, and algorithms. - Solid grasp of complexity theory (big-O) of algorithms and performance tuning. - Experience in multi-threaded software development and synchronization objects. - Knowledge of OpenCV, CUDA, PCL, and experience with Image processing / Computer Vision is a plus. - Experience with docker, podman, Kubernetes, MQTT, DDS, ROS, ROS2 is a plus. **Qualifications:** **Required:** - Bachelor / Master degree in Computer Science, Automation Technology, or Information Technology. - 0-1 years of experience in writing application software for technical applications. - Understanding of networking hardware and software including UDP and TCP. - Ability to read, understand, debug, and modify existing product code. - Experience with writing requirements, design documentation, and test cases. **Desired:** - Experience with programming in Linux, version control systems (preferably GitHub). - Knowledge of object-oriented analysis & design methodologies and design patterns. - Proficiency in C++, Java, and Python programming languages. - Basic understanding of front-end technologies (HTML, CSS, JavaScript). - Familiarity with software testing principles and practices. **Knowledge, Skills, Abilities, And Other Characteristics:** - Ensures important information is shared within the team. - Gives and receives constructive feedback. - Self-motivated, confident, and passionate. - Able to make decisions in conflicting situations and set priorities in a fast-paced environment. - Comfortable with ambiguity and able to provide vision and inspiration to peers and subordinates. Oceaneering offers equal employment opportunities and prioritizes learning and development opportunities for employees. Apply through the PeopleSoft or Oceanet portals. Join us in shaping the future of technology and engineering solutions on a global scale.,

As an AI-ML Architect, you will leverage your 10+ years of experience in developing systems software on Windows or Linux to build, train, and optimize neural network data analytics applications. Your hands-on expertise with Deep Learning frameworks such as Pytorch, TensorFlow, or Caffe will be instrumental in enhancing network performance at kernel level for scalability across hardware. You will play a crucial role in developing, training, and tuning Deep Learning software/models while also exploring techniques like Reinforcement Learning, Transfer Learning, and Federated Learning. Your proficiency in Python programming and C/C++ programming, coupled with solid web service development experience, especially in REST API, will enable you to automate deployment, management, scaling, and networking utilizing Dockers and Kubernetes. Experience with Open Vino, One API DPC++, OpenCL, CUDA programming is preferred. Your familiarity with MLOps, Deep learning infrastructure, microservices architecture, and cloud/distributed infrastructure will be key in designing cutting-edge AI solutions. If you are passionate about AI and possess a strong technical background, this role in Bangalore offers an exciting opportunity to drive innovation in AI-ML architecture and contribute to the development of advanced technologies.,

As an AI & Data Intern at AI Masters World, located in Kalyan Nagar, Bengaluru, Karnataka, India, you will have the opportunity to work with a dynamic startup dedicated to building a cutting-edge AI-powered server for film production. The server offers advanced creative tools such as script generation, music composition, image and video generation, and text-to-speech. Your primary responsibility will be to integrate and optimize state-of-the-art AI models and connect them to our web platform. During the 3-month internship period, you will engage in hands-on activities aimed at deploying, optimizing, and integrating various AI models with a live web platform. Working closely with our core team, you will play a crucial role in bringing complex AI functionalities to end-users, thereby gaining valuable experience in a challenging and thrilling domain. Your performance during the internship will be a key consideration for potential long-term employment opportunities. Key Responsibilities: AI Model Deployment & Optimization: - Download, manage, and optimize open-source Large Language Models (LLMs) and other AI models on our high-performance server. - Implement and fine-tune model loading techniques for efficient GPU utilization. - Monitor AI model performance, VRAM usage, and troubleshoot loading or inference issues. Backend Integration: - Develop and maintain Python-based API endpoints to expose AI model functionalities to the web platform. - Ensure secure and efficient communication between the web frontend and the AI backend. Frontend Web Integration & User Experience: - Collaborate on integrating AI-powered features into the web platform using JavaScript. - Assist in structuring web pages to provide a seamless and intuitive user experience for AI tool interaction. - Contribute to basic UI/UX improvements for AI feature presentation. System Monitoring & Maintenance: - Assist in setting up and monitoring server resources using command-line tools and open-source monitoring solutions. - Document configurations and troubleshooting steps. Eligibility & Required Skills: Academic Background: College students pursuing a computer degree. Programming Languages: Proficiency in Python is mandatory. Familiarity with JavaScript, HTML, and CSS is essential. AI/ML Concepts: Basic understanding of Machine Learning, Deep Learning, and Large Language Models. System & Server Skills: Familiarity with Linux command line, network concepts, and server architecture. Problem-Solving: Strong analytical and problem-solving skills with a proactive attitude. Soft Skills: Excellent communication, collaboration, and quick learning abilities. Bonus Points (Highly Desired): Experience with specific AI models, quantization techniques, web application deployment, and personal projects involving AI models or web development. This internship offers a unique opportunity to work on cutting-edge AI technologies in a fast-paced environment. If you are a motivated individual with a passion for AI and web integration, we encourage you to apply and embark on this exciting journey with us.,

We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products. Primary Responsibilities Software Development : Develop and maintain high-performance applications using C++ and CUDA. Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization Optimize CUDA kernels for performance, scalability, and memory efficiency. Analyze performance bottlenecks and propose innovative solutions. Code Review And Testing Conduct code reviews to ensure adherence to coding standards and best practices. Develop and execute test cases to validate functionality and performance. Collaboration Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. Provide technical guidance and mentoring to junior team members when necessary. Documentation Write and maintain technical documentation, including design specifications and user manuals. Required Skills C++: Strong proficiency in modern C++ (C++11/14/17/20). CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications. GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming. Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods. Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar (ref:hirist.tech)

Job Description GalaxEye is a Space-Tech startup at the forefront of innovation, we are pioneering the World's First Multi-Sensor Earth Observation Satellite and aiming to build a constellation of indigenous micro-satellites with advanced data fusion capabilities. Our upcoming satellite Mission Drishti slated for launch in 2025, will set a global benchmark as the “World's First Multi-Sensor Satellite” integrating both SAR (Synthetic Aperture Radar) & MSI (Multi-Spectral Imaging) sensors on a single platform. A member of the Image Processing team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance. Responsibilities Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices Image Processing Engineer to Develop CI/CD pipeline patterns and best practices Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers Requirements Strong Foundation in Mathematical Statistics. Logical Thinking & Ability to Comprehend key facts. Background in basic image processing or basic signal processing will be preferred Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Proficiency in Python and C++ Programming is a must. Preferred Experience in remote sensing or related fields. Ability to collaborate effectively across the team A detail-oriented team member who can consistently meet deadlines. Benefits Be a part of India’s leading space-tech satellite technology company. Work closely with new age leaders and gain hands-on experience in strategy and operations. Thrive in a collaborative and growth-oriented startup culture. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible faster, leaner, and smarter. We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: - The performance and efficiency of AI workloads on the node. - The reliability and availability of AI systems for Cisco's customers. - Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. - Collaboration across internal teams to bring system-level innovation across different Cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless config and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree+ and relevant 5+ years of Engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,

Swirl AI turns every product page into a human-like sales conversation, blending LLMs, video understanding, real-time retrieval and agent orchestration. We’ve rocketed from 0 → Eight Figures of ARR in few months , and demand is outpacing our 7-person tech team. So, we need one extraordinary engineer to own the core of our platform and push it to Silicon Valley scale. What you’ll do First 90 days • Deep-dive into our multimodal stack (OpenAI-/Claude-based LLMs, custom SLMs, Azure Video Indexer, Pinecone/RAG, LangGraph) • Ship v2 of our SKU-specific “video-+-text” agent (latency < 500 ms, zero hallucinations). • Productionize auto-evaluation + guardrails (sentiment, brand safety) • Stand up voice & XR modalities and experiment with on-device inference. 6-12 months • Real-time GEO optimisation • Lead design of our “agent marketplace”: plug-and-play warranty, finance-offer & upsell agents. • Drive infra hardening to handle 10 M+ interactions / month across multiple Fortune-500 sites. Long term • Build and mentor an elite AI / ML/systems team. • Architect the path to: self-serve onboarding, global content network. You might be a fit if you Have 1-5+ yrs building production systems at scale Shipped deep-learning products end-to-end : data pipeline ➜ model training/fine-tuning ➜ safety/guardrails ➜ Serving (K8s, CUDA, Triton, Ray, or similar). Hands-on with multimodal (video, speech, vision) and agentic/RAG architectures. Fluent in Python/Typescript/Go; can debug distributed systems at 2 a.m. and still think product. Thrive in zero-to-one chaos: sketch, hack, iterate, talk to customers, then rewrite for scale. Believe ownership > titles , data-driven rigor > ego, and shipping weekly > polishing forever. What success looks like p50 latency < 500 ms for a multimodal query across 100k videos & 10M documents. Swirl AI becomes the reference “AI Sales Agent” demo in every Fortune-100 board deck. We out-innovate incumbents (Salesforce, Adobe, Shopify) by shipping features 4× faster with a team 10× leaner. Comp, stage & perks Top-of-market cash + meaningful founding equity (we’re an early-stage, venture-backed rocket). Choose your rig: M-series MacBook + 4k monitor or Linux workstation with RTX 6000. Remote-first (US / EU / India time overlap) with quarterly off-sites in Dubai, SF & Bangalore . Visa support, health + mental-wellness stipend, conference budget, unlimited books. Report directly to Kaizad Hansotia (Founder/CEO) & Akshil Shah (CTO) and shape the product that’s already trusted by BYD, Toyota, LG & Lennox. How to apply Send GitHub/LinkedIn + 2-3 sentences on the toughest system you’ve built to careers@goswirl.ai . Side-projects, papers, or a Loom walk-through of your favourite model-ops trick = huge plus. We move fast: expect a 48-hr reply → 1 technical deep-dive → paid take-home sprint → offer. Join us to make product pages talk, show & sell — at human level, globally.

We are looking for an Embedded AI Software Engineer with a strong background in software development for resource-constrained edge hardware. In this role, you will play a crucial part in creating optimized pipelines that utilize media encoders/decoders, hardware accelerators, and AI inference runtimes on platforms such as NVIDIA Jetson, Hailo, and other edge AI SoCs. Your primary responsibility will involve designing highly efficient, low-latency modules that can operate on embedded devices, requiring deep integration with NVIDIA SDKs like Jetson Multimedia, DeepStream, and TensorRT, as well as broader GStreamer pipelines. Responsibilities include: - Implementing hardware-accelerated video processing pipelines using GStreamer, V4L2, and custom media backends. - Integrating AI inference engines utilizing NVIDIA TensorRT, DeepStream SDK, or similar frameworks such as ONNX Runtime or OpenVINO. - Profiling and optimizing model loading, preprocessing, postprocessing, and buffer management for edge runtime. You will also design software within strict memory, compute, and power constraints specific to edge hardware, leveraging multimedia capabilities and implementing fallback logic for error handling in live deployment scenarios. Additionally, collaborating with kernel modules, device drivers, and board support packages to enhance performance will be a crucial part of your role. Requirements: - Bachelor's or Master's degree in Computer Engineering, Electronics, Embedded Systems, or related fields. - 2-4 years of hands-on experience in developing for edge/embedded systems using C++. - Proficiency in C++11/14/17, multi-threaded programming, video codecs, media IO pipelines, and encoder/decoder frameworks. - Familiarity with GStreamer, V4L2, multimedia buffer handling, TensorRT, DeepStream, CUDA, and NVIDIA's multimedia APIs. - Exposure to runtimes like HailoRT, OpenVINO, or Coral Edge TPU SDK is a plus. Bonus skills include familiarity with build systems like CMake, Bazel, cross-compilation, Yocto, AI model quantization, batching, layer fusion, camera bring-up, video streaming, and live feed inference. To apply for this position, please submit your resume and portfolio details to hire@condor-ai.com with the subject line "Application: Embedded AI Software Engineer." Condor AI is an AI engineering company specializing in deploying artificial intelligence solutions in real-world scenarios. We focus on Edge AI, combining custom hardware with optimized software for fast, reliable on-device intelligence. With expertise in smart cities, industrial automation, logistics, and security, our team brings over a decade of experience in AI, embedded systems, and enterprise-grade solutions. We operate globally, aiming for lean operations and building solutions for production from system design to scaled deployment.,

You will be joining our team as a System Development Engineer focusing on the Hybrid Scientific Computing Stack. A strong background in computer science and software development is required for this role, and knowledge of quantum computing would be an added advantage. Your responsibilities will include working on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes. Containerized workflows using Docker, Singularity, and Helm will be part of your tasks. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management, will also be within your purview. Additionally, you will work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions is essential. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

You will be joining our team as a Systems Development Engineer for the Hybrid Scientific Computing Stack. A strong background in computer science and software development is essential for this role, with knowledge of quantum computing considered a valuable asset. Your responsibilities will include managing backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes, as well as working on containerized workflows with Docker, Singularity, Helm, and Kubernetes. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Additionally, you will be responsible for cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management including GPU/CPU scheduling, RBAC, and SSH-only access. Familiarity with scientific environments such as CUDA, Qiskit, Conda, GROMACS, and Lmod will also be part of your role. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. You should also be familiar with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

AI Manager – Chennai 27052 Work Location: Chennai (Relocation Mandatory) Work Mode: Hybrid (3 days in office) Relocation Assistance: Provided Notice Period: Immediate to 30 days preferred About The Role We’re looking for an experienced AI Manager to lead a high-performing team of algorithm engineers focused on computer vision, image processing, and machine learning. This role demands strong technical leadership, deep expertise in AI/ML/DL, and experience with deploying scalable algorithms in product-driven environments. Key Responsibilities Lead and mentor a team of algorithm engineers for professional growth and success. Develop and maintain infrastructure for large-scale algorithm deployment. Collaborate with cross-functional teams (data scientists, engineers, product managers) to design scalable algorithmic solutions. Optimize algorithm performance and resource use. Keep abreast of new advances in algorithm engineering and infrastructure tech and apply improvements. Drive continuous improvements in development methodologies and tooling. Must-Have Qualifications PhD with 6+ years experience OR M.Tech with 8+ years OR B.Tech with 10+ years relevant experience. Minimum 3 years in a managerial role (lead experience alone not sufficient). 8+ years programming experience in Python, C++, or CUDA. 8+ years in machine learning, AI, and deep learning. 2-3 years experience in computer vision and image processing. Prior experience in product companies (engineering product companies strongly preferred). Educational background from Tier 1 institutes (IIT, IIIT, VIT, NIT) preferred. Strong employment stability (minimum 2 years per organization). Nice-to-Haves Experience in semiconductor or manufacturing sectors. CGPA above 8.0 (on a 10-point scale). Interview Process 3 Technical rounds Fitment round HR round Target Companies Product companies Semiconductor firms Electrical or hardware manufacturing companies Additional Notes Candidates from anywhere in the world willing to relocate to Chennai will be considered. Skills: ai,image processing,semiconductor,c++,processing,engineers,python,infrastructure,cuda,manufacturing,learning,machine learning,deep learning,relocation,computer vision

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/rEEJ2iz7o3m717AA7 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills. *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply. Must possess strong communication skills , both written and verbal. Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting