Software Engineer— Robotics Platform

NVIDIA•Santa Clara, CA

About The Position

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.

Requirements

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, 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.

Nice To Haves

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.

Responsibilities

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