System Software Engineer - Robotics Simulation

Sorry, this job was removed at 08:20 p.m. (UTC) on Tuesday, Oct 06, 2026
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Santa Clara, CA, USA
In-Office
124K-196K Annually
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build and integrate tools for configuring, simulating, and testing robots; optimize scalable robot and sensor simulation systems; integrate APIs for distributed simulator deployments; and develop microservices using network communication protocols. The role requires strong C, C++, and Python skills, experience with physics simulation or robotics, and collaboration across multidisciplinary teams.
Summary Generated by Built In

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:
  • BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field (or equivalent experience).
  • 2+ years of relevant 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 world's most desirable employers. We have some of the most dedicated and expert individuals in the world working for us. If you're creative and passionate about developing cloud services, 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 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 4, 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

  • Bachelor’s, master’s, or doctoral degree in Computer Science, Simulation, or a related field, or equivalent experience
  • At least 2 years of relevant systems software engineering experience
  • Excellent C programming skills
  • Excellent C++ programming skills
  • Excellent Python programming skills
  • Experience with physics simulation, robotics, or motion planning and controls
  • Ability to adapt quickly to varying roles and responsibilities
  • Excellent interpersonal and cross-functional collaboration skills
  • Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, or CAD formats
  • Background with physical robots, reinforcement learning, or synthetic data generation
  • Experience designing UI/UX for user- and developer-facing tools
  • Experience shipping and supporting software products
  • Experience with multithreading, asynchronous programming, concurrency, and parallelism

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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