NVIDIA Logo

NVIDIA

Research Scientist, Fundamental Generative AI - New College Grad 2026

Posted 3 Hours Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
168K-265K Annually
Entry level
In-Office
Santa Clara, CA, USA
168K-265K Annually
Entry level
Conduct fundamental research on novel large-scale generative AI methods, particularly for biomolecular and scientific applications. Design and implement models, publish original research, collaborate with research and product teams, present at conferences, and transfer technology to products. The role requires strong mathematical foundations, generative AI expertise, scientific data modeling experience, programming skills, deep learning framework knowledge, and a strong research record.
The summary above was generated by AI

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:

  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent 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 communication 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 engineer 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 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

3 Days Ago
In-Office
Santa Clara, CA, USA
168K-265K Annually
Entry level
168K-265K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Conduct fundamental research in generative AI, designing and implementing novel large-scale models for text, image, video, 3D, multimodal, or scientific applications. Publish original research, collaborate with research and product teams, present at conferences, and transfer innovations to product groups.
Top Skills: C++CudaDeep LearningGenerative AiParallel ProgrammingPythonPyTorch
22 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
127K-182K Annually
Senior level
127K-182K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Develop and optimize full-funnel, multi-channel demand generation campaigns that generate pipeline, accelerate deals, and support cross-sell and upsell opportunities. Partner with product marketing, sales development, content, product, field, partner marketing, and analytics teams. Build lead-nurturing programs, align assets to buyer stages, monitor conversion and ROI metrics, and create dashboards to optimize campaign performance.
Top Skills: AIGoogle SuiteMachine LearningMarketoSalesforceTableau
22 Minutes Ago
In-Office
220K-350K Annually
Expert/Leader
220K-350K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads integrated execution of a U.S. Air Force aircraft development program from concept development through integration, flight testing, demonstration, and production readiness. Coordinates engineering, manufacturing, supply chain, government stakeholders, and industry partners while managing schedules, budgets, risks, technical dependencies, customer commitments, affordability, and production transition. Provides executive visibility and drives resolution of critical-path issues across aircraft, propulsion, avionics, autonomy, mission systems, and ground systems.
Top Skills: Aircraft SystemsAirworthiness SystemsAutonomy SoftwareAvionicsFlight ControlsFlight TestingGround Control SystemsMission SystemsModular Open SystemsPropulsion Systems

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account