[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 Scientist, Fundamental Generative AI 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-Scientist--Fundamental-Generative-AI_JR2013039) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior Research Scientist, Fundamental Generative AI ## Job description NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for biomolecular design, including small molecule, protein, and RNA design, as well as other scientific applications (i.e., GenAI4Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning and AI for science. You will be empowered to make contributions that create real-world impact. ### What you'll be doing Research, design, and implement novel, large-scale generative AI methods. Publish original research. Collaborate with team members, research teams, as well as product teams. Speak at conferences and events. Transfer technology to product groups. ### What we need to see A Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience). 2+ years of relevant industry or postdoc research experience. Excellent knowledge of the theory and practice of generative AI. Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data. Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA). Knowledge of deep learning frameworks, such as PyTorch. Outstanding research track record. Excellent interpersonal skills. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous researcher with a real passion for computer architecture and technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 6, 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: Jul 10, 2026 - Last checked: Oct 20, 2026 - Listed for: 102 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-Scientist--Fundamental-Generative-AI_JR2013039) ## 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 ### [AI Research Scientist —Generative AI for Materials Discovery](https://jobs.opennash.com/companies/meta-platforms/jobs/a789bee7ef8ffca80e56/) Meta Platforms · Redmond, WA +1 more ### [Research Scientist - Generative Audio](https://jobs.opennash.com/companies/spotify-technology/jobs/05877413c54099ed7b77/) Spotify Technology · New York, NY ### [AI Research Scientist 4/5 - Generative Models, Recommender Systems](https://jobs.opennash.com/companies/netflix/jobs/f8a128146f4c0a41b499/) Netflix · Remote, United States ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling](https://jobs.opennash.com/companies/apple/jobs/a6bb58e0e29e1def3ac7/) Apple · Cupertino, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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