Senior Agentic AI Software Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and build agentic AI systems and internal coding/research agents; architect and analyze inference workload dynamics; collaborate with evaluation teams to improve software and hardware evaluation quality.
Summary Generated by Built In

We are now looking for a Senior Agentic AI Software Engineer! Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPUs act 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 rapidly, and coding and research agents are becoming major drivers of token usage. New agentic patterns, including reasoning models, parallel subagents, and long-horizon tool use, are further increasing the complexity and scale of inference workloads. We are looking to deeply understand the 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 agentic AI systems to ensure NVIDIA stays ahead of the curve.

What you will be doing:

  • Building agentic systems in coding and research domains internally

  • Architecting systems that analyze inference workload dynamics of leading agentic harnesses under realistic conditions

  • Collaborating with teams that lead evaluation systems for software and hardware to improve eval quality

What we need to see:

  • Strong experience with building AI agents

  • Familiarity with how to evaluate performance of AI agents 

  • Experience using coding agents like Codex and Claude Code

  • MS in Computer Science or related field (or equivalent experience), with 5 years of relevant software development experience. Huge plus for recent experience to be in AI inferencing or Agents.

Ways to stand out from the crowd:

  • 2+ years experience with building modern agentic systems or AI-backed systems.

  • Open source projects showcasing agentic AI applications you have built

  • Rigorous analytical approach to analyzing and collecting data 

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! 

#LI-Hybrid

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.

Applications for this job will be accepted at least until August 18, 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.

Skills Required

  • Strong experience with building AI agents
  • Familiarity with evaluating performance of AI agents
  • Experience using coding agents like Codex and Claude Code
  • MS in Computer Science or related field (or equivalent experience) with 5 years relevant software development experience
  • Recent experience in AI inferencing or Agents
  • 2+ years building modern agentic systems or AI-backed systems
  • Open source projects showcasing agentic AI applications
  • Rigorous analytical approach to analyzing and collecting data

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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