System Software Engineer, Robotics Simulation - New College Grad 2026

Sorry, this job was removed at 10:10 p.m. (CST) on Thursday, Nov 20, 2025
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Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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. Come join the team and see how we can make a lasting impact on the world. 

We are now looking for a System Software Engineer for our Robotics Simulation Team! NVIDIA Isaac Sim™ is a cutting-edge robotics simulation platform that empowers researchers and engineers to accelerate the development and deployment of intelligent robots. Leveraging the power of NVIDIA's AI and GPU technologies, Isaac Sim offers a realistic and scalable environment for training, validating, and optimizing robots for real-world scenarios.

What you’ll be doing:

  • Building and integrating tools to configure, simulate, and test robots

  • Maintain and optimize the existing simulation stack for scalable robot and sensor simulation

  • Integrate APIs to support large scale simulator deployments on distributed systems

  • Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs

What we need to see:

  • Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field

  • Experience in systems software engineering

  • Excellent C, C++, and Python programming skills

  • Flexibility to adapt quickly to varying roles & responsibilities

  • Experience with physics simulation, robotics or motion planning & controls

  • Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies

Ways to stand out from the crowd:

  • Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats

  • Background with physical robots, reinforcement learning, synthetic data generation

  • Experience with UI/UX for user and developer facing tools

  • Background with shipping and supporting software products

  • Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism

NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Do you want to help build a state of the art, next generation simulation platform for the robotics industry? If so, we welcome you to apply. Tell us why you think you might be a great fit for our team, and we'd love to tell you more about what we do.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 18, 2025.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.

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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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