Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work.
Demand for inference is growing quickly. AI agents, long-horizon coding and research in particular, represent one of the largest proportions of demand for new tokens. They are also the fastest growing group, asymptotically accelerating as new regimes such as reasoning and parallel subagents further push the demand slope upward. We are looking to deeply understand the inference workload profiles of these agents as they evolve, developing the best understanding in the world so we can support building the best hardware in the world. Through this process, we will also engineer our own frontier agentic systems to ensure NVIDIA stays ahead of the curve.
What you’ll be doing:
Building long-horizon agentic systems in coding and research domains internally to accelerate productivity
Architecting autonomous research systems that analyze inference workload dynamics of leading coding agents under realistic conditions
Collaborating with teams that lead evaluation systems for software and hardware to improve eval quality
Supporting LPU division in adopting AI tooling and educating broader NVIDIA to improve workflow complexity and overall adoption
What we need to see:
Pursuing or recently completed a BS, MS, or PhD in Computer Science or related field or equivalent experience.
Background with how to build modern AI research and/or coding agents
Familiarity with how to evaluate quality performance of AI agents
Experience using coding agents like Claude Code, Codex, and Cursor
Experience with writing code in python and at least basic experience with languages like golang and rust where agents excel
Ways to stand out from the crowd:
1+ years experience with building modern agentic systems
Work experience in AI inference or agent companies
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.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 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.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.
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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.”
