NVIDIA's Robotics Platform is at the forefront of the physical AI revolution, developing the software and hardware systems that power the next generation of intelligent machines — from industrial robot arms to humanoid robots capable of operating autonomously in complex, real-world environments. We build the foundational compute stacks and AI sensor processing frameworks that enable robots to perceive, reason, and act with unprecedented capability. In this role, you will design, build, and optimize core platform features, shape how developers interact with the platform, and create the reference integrations, examples, and tools that help our developers bring physical AI to life.
What you'll be doing:
Build and develop new Robotics Platform runtime features, optimizations, tooling, and developer-facing APIs — with a strong emphasis on performance and reliability.
Create clear, comprehensive, and AI agent-ready reference applications, benchmarks, skills, and tutorials showcasing platform capabilities in real-world robotics scenarios.
Develop integrations with simulation tools for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing workflows.
Develop features and tooling for performance optimization, observability, and debugging of robotics applications.
Optimize the platform to best leverage NVIDIA's hardware for sensor I/O processing and physical AI.
Use agentic AI to accelerate and scale software development
Develop skills for agentic AI developers
What we need to see:
BS or MS in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent experience).
5+ years of software engineering experience with a focus on systems software, robotics, or developer tooling.
Strong C++ and Python skills, and ability to work across both application and platform layers of a software stack.
Familiarity with robotics concepts including sensor pipelines, real-time execution, and robot application architectures.
Strong collaborative approach to working within a fast-paced, multi-team environment.
Proficiency using agentic AI tools to accelerate software development.
Ways to stand out from the crowd:
Hands-on experience building robot applications with ROS2, Holoscan or similar robotics middleware frameworks.
Familiarity with Isaac Sim, Isaac Lab, MuJoCo and similar frameworks for simulation-based robot development.
Background in observability tooling, distributed tracing, or telemetry for robotics, real-time, or embedded systems.
Experience with CUDA, TensorRT, or other NVIDIA technologies.
Contributions to open-source robotics projects or developer ecosystem tools.
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.Skills Required
- BS or MS in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent experience)
- 3+ years of software engineering experience with a focus on systems software, robotics, or developer tooling
- Strong C++ and Python skills
- Familiarity with robotics concepts including sensor pipelines, real-time execution, and robot application architectures
- Strong collaborative approach to working within a fast-paced, multi-team environment
- Proficiency using agentic AI tools to accelerate software development
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.
NVIDIA Insights
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.”
