NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world
We are looking for an outstanding Senior Agentic AI Applied Researcher to build groundbreaking mutli-modal agentic AI solutions for data science and machine learning. As a member of the team, you will develop new agentic AI solutions to automate part or all of data science pipelines, including data elicitation, data curation, iterative experimentation, workflows for model training and evaluation, diagnostics, and ablation studies. You will apply this to various enterprise data science projects as well as machine learning competitions. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you’ll be doing:
- Collaborate with software and solutions teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design, development, and optimization of agentic AI solutions that address challenges in data science and machine learning workflows
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
What we need to see:
- Bachelor's degree in computer science, electrical engineering, or related field (or equivalent experience); MS or PhD preferred.
- 5+ years of industry or academia experience with AI data science systems development; exposure to fine tuning models, reinforcement learning, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
- Proficiency in Python and at least one of Pytorch or JAX/TensorFlow.
- Experience in using coding agents like claude code, codex, cursor, to develop and maintain advanced codebases.
- Experience developing agentic or automated systems that communicate with external storage and reporting tools.
Ways to stand out from the crowd:
- Familiarity with safety, guardrails, and policy enforcement for autonomous systems
- Deep expertise in building, training, and fine-tuning models.
- Experience designing, executing, and analyzing autonomous AI systems for data science and machine learning applications..
- Open-source leadership in agentic AI systems for data science.
- Good results on machine learning competitions and on machine learning benchmarks.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree in computer science, electrical engineering, or related field (or equivalent experience)
- MS or PhD in relevant field
- 5+ years industry or academia experience with AI data science systems development
- Exposure to fine-tuning models, reinforcement learning, agents, or orchestration frameworks
- Hands-on experience with deep learning frameworks and inference stacks
- Proficiency in Python
- Experience with at least one of PyTorch or JAX/TensorFlow
- Experience using coding agents (e.g., Claude Code, Codex, Cursor) to develop and maintain codebases
- Experience developing agentic or automated systems that interact with external storage and reporting tools
- Familiarity with safety, guardrails, and policy enforcement for autonomous systems
- Deep expertise in building, training, and fine-tuning models
- Open-source leadership or strong contributions in agentic AI systems
- Strong results on machine learning competitions or benchmarks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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