17 Nvidia Jobs

We are looking for a highly skilled HPC/GPU Operations Engineer with 6-10 years of experience to oversee the management, optimization, and maintenance of high-performance computing (HPC) infrastructure, specifically focusing on GPU-accelerated workloads. Your primary responsibilities will include ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. As an IC3 level professional, you will be tasked with the following responsibilities: - Managing and administering HPC clusters, GPU nodes, and high-speed interconnects. - Configuring GPU-accelerated workloads for AI/ML, scientific computing, and simulations. - Monitoring system performance, troubleshooting issues, and optimizing resource utilization. - Installing, configuring, and maintaining HPC-related software, libraries, and tools such as CUDA, OpenMP, and MPI. - Supporting containerized workflows using technologies like Docker and Singularity. - Ensuring software compatibility with GPU architectures from NVIDIA, AMD, and Intel. - Tuning GPU and CPU performance for specific workloads, including benchmarking and profiling. - Utilizing monitoring tools like Prometheus, Grafana, and Slurm to track system health and efficiency. - Optimizing scheduling and resource allocation in workload managers such as Slurm, PBS, and LSF. - Upholding system security and access control for HPC resources. - Applying software patches, firmware updates, and security best practices. - Assisting in regulatory compliance for HPC environments. - Providing support to researchers, data scientists, and engineers using HPC resources. - Developing and maintaining documentation on best practices, troubleshooting, and system usage. - Conducting training sessions or workshops on HPC/GPU computing. To qualify for this role, you should possess the following technical skills: - Experience in managing HPC clusters and GPU-based computing environments. - Proficiency in Linux system administration, scripting (Bash, Python), and automation (Ansible, Terraform). - Knowledge of parallel computing, GPU programming (CUDA, OpenCL), and HPC frameworks. - Familiarity with networking technologies such as Infiniband and RDMA, storage solutions like Lustre, GPFS, NFS, and virtualization. At Oracle, we are dedicated to leveraging cutting-edge technology to address current challenges while fostering an inclusive work environment that encourages innovation and collaboration. We offer a range of competitive benefits, flexible medical, life insurance, and retirement options, and support employee engagement in volunteer programs. We are committed to providing accessibility assistance or accommodation for individuals with disabilities throughout the employment process. If you require such assistance, please contact us via email at accommodation-request_mb@oracle.com or by phone at +1 888 404 2494 in the United States.,

You should have 3 to 8 years of experience in Embedded System Software to apply for this position based in New Delhi or Hybrid work location. As a Chief Technology Officer (CTO), you will be responsible for leading an Embedded Software team and delivering production software for Linux-based embedded products. Your role will involve collaborating with cross-functional teams to define the overall product software architecture. You will also need experience in project technical execution, such as software architecture, schedule planning, task management, customer communication, and risk mitigation. Mandatory skills include proven expertise in C/C++ based software development, Linux BSP, device drivers, and applications. It is essential to have experience in new product board bring-up and leading a team for camera product development. Additionally, expertise in chipsets like Novatek, Ambarella, Nvidia, Ingenic, Sigmastar, TI, and NXP is beneficial. Knowledge of AI/ML cameras and camera concepts will be advantageous. Your responsibilities will include defining the software architecture for the camera system, leading the development of embedded software, writing and optimizing code, implementing real-time processing algorithms, and providing technical leadership to the software development team. Effective communication with stakeholders, collaboration with cross-functional teams, and mentoring team members are also key responsibilities. For the Engineer/Sr Engineer role in Embedded System Software, you must possess excellent Embedded C/C++ skills, experience in embedded Linux application development, BSP & bootloader porting, and HW bring-up experience. Strong debugging skills, understanding of Linux OS concepts, and device driver development/integration experience are required. Experience with system software development of camera products, media frameworks/pipelines development, and audio/video streaming is desirable. This is a full-time, permanent position with benefits such as paid sick time, provident fund, work from home option, day shift schedule, performance bonus, and yearly bonus. To apply, please share your CV at hr@indinatus.com. Educational preference is a Bachelor's degree, and the required experience includes 3 years in embedded software and a total of 3 years of work experience. The work location is in person. For further inquiries, you can contact the employer at +91 9810085267.,

Automation Testers are requested not to apply; Develop a new product that delivers Software Automation in all phases of Infrastructure Management to End-customers in the AI space with IaC; Git, CI/CD; Bash Script; Kubernetes; virtualization; LINUX OS Required Candidate profile Solid Command on Java, Python, C, C++. (any of them); Ansible playbooks, code that manage Linux-based HPC and AI environments; Bare metal provisioning: PXE, kickstart; Linux-based systems; Ansible;

Role & responsibilities: We are seeking a skilled Digital Twin Developer with 2-4 years of experience to join our innovative team. The ideal candidate will have strong experience working with NVIDIA technologies to develop digital twin solutions, with optional skills in modern web development and IoT integration. Required Skills and Experience: - 2-4 years of professional experience in software development. - Hands-on experience with NVIDIA technologies such as: - NVIDIA Omniverse (e.g. Omniverse Kit, Connectors) - GPU-based computing - NVIDIA SDKs and tools for 3D graphics or simulation - Familiarity with 3D modeling formats (USD, .glb etc.) - Understanding of digital twin concepts, workflows, and applications. - Strong problem-solving skills and collaborative mindset. Optional / Nice-to-Have Skills: - Frontend development experience using Angular. - Backend development with Node.js. - Exposure to AWS IoT services and architectures. - Familiarity with cloud-based deployments and modern DevOps practices.

Role & responsibilities : Job Title / Designation: Solution Architect/Project Manager/Associate Director based on experience & expertise Business Unit : Embedded Engineering Services (EES) Industry Experience Range : 8+ years Job Location : Preferably Pune / Ahmedabad / Bangalore Shift : General Shift (Mon-Fri) Job Function, Roles & Responsibilities: Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.) to create robust, efficient, and context-aware edge intelligence solutions Drive edge analytics and on-device learning across verticals such as Industrial Automation, Medical Devices, Automotive, and Smart Consumer Electronics Collaborate with global customers to gather requirements, architect solutions, track project delivery, and ensure alignment with business objectives Support business development with presales solutioning, proposal writing, and effort estimation Drive internal capability building through mentoring, training, and competency development Preferred candidate profile: ________________________________________ Experience: 8+ years in embedded systems, AI/ML, and data engineering, with a strong focus on edge intelligence and real-time systems. At least 3 years in a technical leadership or strategic role. Prior experience in a product engineering services environment preferred. ________________________________________ Area of Expertise: Proven expertise in deploying ML/DL models on edge devices (NVIDIA Jetson, NXP i.MX, Qualcomm QCS, TI Sitara, etc.) Strong knowledge of data workflows: dataset generation, manual/automated annotation, data cleaning, augmentation, and synthetic data creation Deep understanding of sensor fusion techniques combining inputs from vision, audio, IMU, radar, LIDAR, and other sources to improve model accuracy and efficiency Experience in model optimization using TensorRT, ONNX, OpenVINO, TFLite, and TVM Hands-on with TensorFlow, PyTorch, scikit-learn, and signal/image processing techniques Proficient in designing for real-time inference on resource-constrained platforms Exposure to AI accelerators, NPUs, DSPs, and hybrid SoC environments; must have exposure to NVIDIA SoC & Tools Presales, account engagement, and solutioning experience with North American or European clients ________________________________________ Nice to Have: Cloud-edge integration using AWS Greengrass, Azure IoT Edge, GCP Edge TPU Understanding of AI regulatory/safety standards (ISO, IEC, FDA compliance for AI/ML in regulated industries) ________________________________________ Educational Criteria: BE/ME/B.Tech/M.Tech Electronics, Computer Science, AI/ML, Embedded Systems, or Data Science ________________________________________ Travel: Flexibility to travel globally with sales or delivery teams for customer meetings, workshops, and project deployments as needed. Interested and qualified candidate can directly reach Mr. Anup Sharma at 99099-75421 or anup.s@acldigital.com. (staffing partner can communicate over the email)

As a member of the Data Center Network Services team at Cisco IT, you will be responsible for supporting network services for Cisco Engineering and business functions globally. Your primary mission will be to build a future-ready network that is adaptable and agile using Cisco's networking solutions. The networks you will be working on are deployed, monitored, and managed using a DevOps approach to facilitate rapid application changes. By investing in cutting-edge technologies, we ensure the delivery of services in a fast and reliable manner. The team culture fosters collaboration, creativity, and fun, encouraging team members to think innovatively and explore new ideas. In this environment, you will play a crucial role in designing, developing, testing, and deploying Data Center network capabilities. Your work will involve engaging with fellow engineers from different disciplines and internal clients to create innovative and high-quality solutions that enhance our clients" experience. **Minimum Requirements:** - Bachelor of Engineering or Technology with a minimum of 10 years of experience in designing, deploying, operating, and managing scalable DC network infrastructure using Nexus OS - Proficiency in technologies such as Routing, Switching, Nexus, VPC, VDC, VLAN, VXLAN, and BGP - Experience in incident, problem, and organizational change management - Familiarity with DevOps principles and comfortable with Agile practices **Preferred Qualifications:** - CCNP or CCIE/DE certification - Experience with SONiC NoS including basic configuration, network problem-solving, QoS monitoring and fix (especially for RoCEv2), BGP routing - Desirable experience with L3 Fabrics, Nvidia and Linux networking, Python, Prometheus, Splunk, Grafana, and Cisco Firepower firewalls (FTD/FMC) **Nice to have Qualifications:** - Experience with Nexus Dashboard Fabric Controller for network building and troubleshooting - Experience with VXLan-based networks and problem-solving In conclusion, at Cisco, we are at the forefront of revolutionizing how data and infrastructure connect and protect organizations in the AI era and beyond. With a history of 40 years of innovation, we create solutions that enable humans and technology to work together seamlessly across physical and digital realms. Our solutions empower customers with unrivaled security, visibility, and insights across their entire digital footprint. By leveraging our technology and global network, we continuously experiment and innovate to build impactful solutions. As part of the Cisco team, you will have limitless opportunities to grow and contribute on a global scale, collaborating with appreciation to achieve significant milestones. Cisco's impact is omnipresent, and it all starts with you.,

We are looking for a highly technical Robotics Simulation Engineer specializing in reinforcement learning (RL) and deep learning for robotic arms . The ideal candidate should have strong expertise in learning-based motion planning, grasp adaptation, real-time trajectory optimization, and AI-powered dexterous manipulation . This role requires proficiency in ROS2 MoveIt!, Orocos, NVIDIA Isaac Sim, Omniverse, Groot, RL-based control models, policy optimization, and Sim2Real AI adaptation strategies to push the boundaries of robotic autonomy and self-learning dexterity . Key Responsibilities Reinforcement Learning for Robotic Manipulation: • Develop Deep Reinforcement Learning (DRL)-based policies for robotic arm dexterity, training models on high-dimensional action spaces for grasping and force adaptation . • Implement self-learning policy gradient optimization for improving robotic decision-making in dynamic task execution . • Train RL-based inverse kinematics (IK) models , enabling real-time trajectory correction and adaptive grasping strategies .

Job Title: Lead Solutions Architect AI Infrastructure & Private Cloud Job Summary: We are seeking a highly skilled Lead Solutions Architect with deep expertise in AI/ML infrastructure, HPC, and container platforms to lead the design and delivery of enterprise-grade AI solutions. You will architect and optimize private cloud environments powered by NVIDIA AI Enterprise and GreenLake technologies, enabling scalable, secure, and high-performance AI workloads. Key Responsibilities: 1. Leadership & Strategy Lead solution design and delivery of AI/HPC platforms (OpenShift, Rancher, etc.) aligned with business goals and NVIDIA AI Factory principles. Ensure delivery assurance, stakeholder alignment, and risk management across the project lifecycle. 2. Architecture & Integration Architect containerized and HPC workloads using platforms like Red Hat OpenShift, SUSE Rancher, Slurm, and PBS Pro. Integrate NVIDIA AI Enterprise and open-source ML tools into broader software ecosystems. 3. Technical Engagements Lead RFP/RFI responses, customer consultations, and PoCs to validate performance and integration. Recommend optimal infrastructure configurations using reference architectures from clients and partners. 4. Innovation & Enablement Stay updated on trends across HPC, Kubernetes, hybrid cloud, and security to drive innovation. Mentor consultants and promote internal knowledge-sharing. 5. Customer-Centric Delivery Act as a trusted advisor, translating complex technical concepts into business value. Collaborate with infrastructure, DevOps, and data science teams for seamless delivery. Required Skills & Experience: AI Infrastructure & HPC: Proficiency in workload schedulers (Slurm, PBS Pro), cluster management tools (HPCM, Base Command Manager), and high-speed networking (InfiniBand, Ethernet). Containers & Orchestration: Hands-on experience with Docker, Podman, Singularity; expertise in Kubernetes, OpenShift, Rancher. Deep knowledge of NVIDIA GPU Operator, DCGM, and GPU optimization. Operating Systems & Virtualization: Advanced Linux admin skills (RHEL, SLES, Ubuntu) and experience with virtualization (KVM, OpenShift Virtualization). Cloud, DevOps & MLOps: Experience with hybrid cloud environments, CI/CD, IaC, and integrating ML frameworks into production workflows. Understanding of cloud-native security, observability, and compliance. Networking & Protocols: Strong grasp of networking (TCP/IP, DNS, routing) and protocols like S3, NFS, SMB for hybrid data workflows. Programming & Automation: Scripting experience in Python, Bash, and automation of infrastructure/ML pipelines. Soft Skills & Leadership: Strong communication, project leadership, and stakeholder management skills. Ability to align technical solutions with enterprise business objectives. Qualifications: Bachelor’s/Master’s in Computer Science or related field. 8–10 years of experience in AI/ML, HPC, and container-based solutions. Preferred certifications: RHCSA, RHCE, CKA, CKAD, CKS, NVIDIA Certified – AI Infrastructure & Ops.

Regional lead for AI Infrastructure Sales focused across industries and segments. Global role based in territory with international travel required. Be an integral part of the AI revolution. Oracle is experiencing unprecedented growth through delivering market-leading AI Infrastructure we are looking for exceptional individuals to join our team as we continue to scale the business. Qualifications 5+ years of Sales or relevant experience, preferably with 1-2 years in the AI Infrastructure space. Track record of selling complex solutions and an understanding of infrastructure deployments including lead times, margin analysis, and market demand. Technical depth is strongly preferred. Understanding of the Partner Ecosystem including but not limited to NVIDIA, AMD, Dell, Lenovo, Supermicro, Deloitte, Accenture, etc. Proven success selling to the in-region markets and creating a new business from the ground up. Strong experience in pipeline generation, deal management, closing, and working across departments. Knowledge of the local AI Community and government space and a desire to build a new AI ecosystem with OCI at the center. Employer Description As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Primary job duty is to sell AI cloud infrastructure and related services in the region across multiple verticals, segments, and government entities. Identifies, qualifies, and closes new opportunities. Manages accounts through the entire sales process from business development prospecting and specifications through contract negotiations, signing, and post-sales support. Leverages the Oracle sales model to maximize revenue growth and increase local market share. Career Level - IC4

Graduate with 8+ years in product / solution management Product Manager / Offering Manager in Cloud, IaaS, HPC, or related high-tech domains. Hands-on understanding of technologies like NVIDIA GPU stacks, containerized HPC (Singularity, Docker), scheduling systems (SLURM, PBS), Lustre / GPFS Familiarity with as-a-Service constructs, subscription models, and TCO discussions. Product lifecycle management. Project and cross-functional stakeholder management Strong articulation, documentation, and influencing ability Able to interact across sales, delivery, product, and finance Suitable candidates may forward their updated profiles in strict confidence to hr33@hectorandstreak.com or call on 9699224920

Role: DevOps Engineer Work Location: Thane, Maharashtra Total Experience: 5 + years Shift: 3 pm 12 am (Mon-Fri) Company Prole AMSYS Group We pride ourselves on 20+ Years of excellence based on the principles of integrity, Honor, and mutual gain. As future decisions are made, we are always keeping in mind the prosperity of the AMSYS Family. Amsys IT Services Pvt Ltd is part of this group, based in Mumbai. Website: http://www.amsysis.com Summary: Were seeking a DevOps engineer with VFX experience [80% DevOps, 20% ML/AI]. Key skills Requirements: 3+ years systems engineering NVidia drivers, system conguration ¢ Log server setup, data space allocation for datasets, checkpoints and logs ¢ 5+ years conguration management engineering ¢ Git, Scons, Rez, pypi, docker, conda, make, cmake ¢ Container development ¢ 3+ years of VFX Pipeline development ¢ Shotgun/Shotgrid, Maya, Houdini ¢ Versioning, build and integration ¢ Asset staging, versioning, deployment and tracking. ¢ Python, C++, Shell Desired: ¢ Knowledgeable about animation studio compute infrastructure, render farms. ¢ Background in machine learning systems, conguration, logging, deployment

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Role & responsibilities Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product/solution capabilities, and work closely with the engineering team in the development of data solutions Experience in combining multiple modalities and integrate them into a unified system capable of handling multiple types of data, including text, video inputs,and audio. Must have real time experience in large Green and Brown field AI and Computer Vision projects using NVIDIA, Intel Core or similar chipsets Strong foundation in statistics, mathematics, machine learning, and programming and model optimization from large dataset in smart cities or other smart industries Designing and implementing data pipelines for efficient data processing and model deployment. Proficient in developing and implementing machine learning and statistical models Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Implement analytical models in production by collaborating with software developers and machine-learning engineers

-Design, develop & debug embedded software for ARM, Intel & NVIDIA platforms -Develop & maintain DMA drivers & user-space application software for Linux & Windows -Develop real-time applications using RTOS & manage multi-threaded, pre-emptive systems Required Candidate profile Implement communication protocol (SPI, I2C, UART, TCP/IP / UDP) Create robust, maintainable C/C++ code Support system integration, bring-up activities Experience in MPSoCs & ARM Cortex-A/R/M processor

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

The Senior AI Scientist is a technical role responsible for driving the design, development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives, and mentor junior scientists. The ideal candidate combines a strong research background with architectural thinking, practical implementation experience, and the ability to collaborate across cross-functional data, business, product and other teams. Responsibilities Develop the organizations AI research agenda, with a focus on AI (NLP/ML models), foundational models, generative AI, Agentic AI solutions and multi-modal systems aligned to business priorities. Develop end-to-end AI components and capabilities, from ideation and prototyping to scalable, enterprise-grade deployment. 3. Translate cutting-edge research into real-world AI components, performance optimization, data generation, and integration with existing data and platform ecosystems. Collaborate cross-functionally across product, business and other teams to drive alignment between AI research strategy and enterprise technology roadmaps. Ensure compliance and optimize performance, covering data governance, industry standards, and model efficiency. Ensure responsible and ethical AI development, incorporating model governance, explainability, fairness, and bias mitigation into the AI lifecycle. The person has to perform testing, validation of the components with reproducible matrix. The person has to perform cross collaboration and work on activities like generation of synthetic data, test suite development, Fine tuning and metrics validation. Good to have - Contribution to Whitepaper, blog authoring / contribution, Github Open source AI projects. Skills Expertise in software languages like Python / Java / .NET, R, PySpark, etc (Atleast 1 language) and SQL Expertise in developing AI and ML based solutions involving LLMs, NLP, Speech, Video, Agentic AI and other Deep Learning based models. Should have worked on Frameworks and libraries like Tensorflow, PyTorch, ScikitLearn, Ollama, Nemo, Transformers, Torch lightning, NIMS library, Unsloth, etc. Should have exposure working on Fine tuning of LLM models using Open source libraries. Ability to pursue new innovative solutions based on the new and latest technological developments and stacks. Ability to validate the solutions based on metrics, components to be part of larger integral system. Experience in Machine learning models like statistical, time series, stochastic, etc. Possess good concepts in various Machine learning algorithms and metrices. Experience in NLP based solutions like extraction, summarization, classification, etc using libraries like RASA, BERT, etc. Experience in developing chatbots, QA solutions, etc. Experience in replicating the solution for different business streams as per the requirement by fine tuning the models. Experience in using AI Cloud services in developing platform / end to end solutions. Good to have exposure to Cloud based deployment of AI solutions Exposure to atleast 1 Cloud services (AWS, Azure, GCP) is expected Should have experience in developing GenAI solutions making use of cache like RAGs (Chroma DB, FAISS, etc) and internal memory. Good to have experience in developing Hash, GraphAI, etc based NLP components like models, RAGs, etc Capable of communicating AI strategy, technical insights, and roadmaps to senior stakeholders for strategic alignment Solid grasp of data privacy, security, and compliance standards in WNS Adaptability and a continuous learning mindset and excellent communication

We are looking for an innovative AI/ML Developer to join our team and contribute to building intelligent systems and data-driven products. The ideal candidate will have experience designing machine learning models, working with large datasets, and deploying algorithms into scalable production environments. You will collaborate with cross-functional teams to transform data into actionable insights and intelligent solutions that drive business impact. Key Responsibilities: Design and develop machine learning and deep learning models. Preprocess and analyze large datasets for feature engineering and model training. Train, validate, and fine-tune models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Deploy models into production using REST APIs, containers, or MLOps tools. Monitor model performance and retrain as needed based on feedback or drift. Collaborate with data engineers and product managers to integrate ML into applications.