[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Santa Clara, CA # Senior Research Engineer, Foundation Model Training Infrastructure US, CA, Santa Clara Senior individual contributor Research & Science Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Engineer--Foundation-Model-Training-Infrastructure_JR1992361) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior Research Engineer, Foundation Model Training Infrastructure ## Job description NVIDIA is searching for a senior or principal engineer who specializes in building cutting-edge infrastructure for large-scale foundation model training in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps. ### What you will be doing Design and maintain large-scale distributed training systems to support multi-modal foundation models for robotics. Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets. Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data. Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters. Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines. ### What we need to see Bachelor's degree in Computer Science, Robotics, Engineering, or a related field; 10+ years of full-time industry experience in large-scale MLOps and AI infrastructure; Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow. Deep understanding of GPU acceleration, CUDA programming, and cluster management tools like Kubernetes. Strong programming skills in Python and a high-performance language such as C++ for efficient system development. Strong experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM, Kubernetes). ### Ways to stand out from the crowd Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field; Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment; Strong experience at building large-scale LLM and multimodal LLM training infrastructure; Contributions to popular open-source AI frameworks or research publications in top-tier AI conferences, such as NeurIPS, ICRA, ICLR, CoRL. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days - Location: US, CA, Santa Clara[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Engineer--Foundation-Model-Training-Infrastructure_JR1992361) ## More jobs at NVIDIA ### [Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026](https://jobs.opennash.com/companies/nvidia/jobs/42d001528f77c6d200c8/) US, CA, Santa Clara ### [Differentiable Simulation Research Intern - Summer 2027](https://jobs.opennash.com/companies/nvidia/jobs/88fded3d76d9debeba32/) US, CA, Santa Clara ### [Offensive Hardware Security Researcher](https://jobs.opennash.com/companies/nvidia/jobs/a71034a3f826a4b2b81a/) US, CA, Santa Clara ### [PhD Research Intern, AI-Aided Engineering – 2027](https://jobs.opennash.com/companies/nvidia/jobs/b8bae8c21e6005c2f768/) US, CA, Santa Clara ### [PhD Research Intern, Autonomous Systems and Physical AI Research - 2027](https://jobs.opennash.com/companies/nvidia/jobs/3e4b5a7d8d7c36938c02/) US, CA, Santa Clara ## Similar jobs at other companies ### [Research Scientist / Engineer, Foundation Model Evaluation](https://jobs.opennash.com/companies/apple/jobs/6cce92c3dcfb005f56da/) Apple · Cupertino, United States of America ### [AIML - Distinguished Engineer, Foundation Model](https://jobs.opennash.com/companies/apple/jobs/bc3c6650a69a30a3bbe0/) Apple · Cupertino, United States of America ### [Senior Lead Software Engineer-AI Foundation Services](https://jobs.opennash.com/companies/jpmorganchase/jobs/33206d4bf244f0253cbc/) JPMorganChase · Plano, TX, United States ### [Applied Scientist II, Foundation Model](https://jobs.opennash.com/companies/amazon/jobs/257e51fe80d43fba0429/) Amazon · US, CA, Sunnyvale ### [Software Engineer (Hybrid Work Model)](https://jobs.opennash.com/companies/sentry-insurance/jobs/6892433d4d89f1e48b33/) Sentry Insurance · Madison, WI [Jobs in Santa Clara, CA](/locations/us/ca/santa-clara/)[Jobs in California](/locations/us-ca/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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