Level

NVIDIA

Senior AI Systems Engineer, Chip Design

AI in this role

pytorchtensorflow
ai-agents

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 talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.

What you will be doing:

  • Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.

  • Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.

  • Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.

  • Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.

  • Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.

What We Need to See:

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).

  • 6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.

  • Strong programming skills in Python, with experience developing production-quality systems.

  • Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes.

  • Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.

  • Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions.

Ways to stand out from the crowd:

  • Experience with Large Language Models (LLMs) and their applications in software and AI development

  • Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.

  • Deeply interested in learning disparate concepts and putting them together in innovative new ways

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 11, 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.

How we rate this

Senior AI Systems Engineer, Chip Design at NVIDIA rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI agentsPyTorchTensorFlow

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of TensorFlow that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI agents, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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