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As a Software Engineer in Robotics at NVIDIA, you will play a key role in advancing the field of robotics by working on state-of-the-art technology and infrastructure. You will be part of a dedicated team focused on developing and deploying robotics systems that blend both simulation and real-world applications. If you are enthusiastic about building infrastructure that removes friction and directly enables a team's ability to iterate rapidly, while gaining exposure to the complex challenges of production-grade robotic software, this position is right for you.
What You'll Be Doing:
Drive exceptional developer experience and rapid iteration speed by targeting friction points in existing processes and delivering the vital technical infrastructure to ensure smooth, fast workflows.
Improve build systems, speed up CI pipelines, and streamline training workflows.
Demonstrate your understanding of the unique challenges in the robotics ecosystem to propose solutions that accelerate robot learning.
Integrate hardware-in-the-loop (HIL) testing into CI to verify robotics systems under real-world conditions.
Collaborate across team boundaries to identify the biggest challenges and the best solutions.
What We Need to See:
Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
8+ years of robotics software and build systems experience.
A strong, intrinsic drive to passionately pursue and eliminate development friction, bottlenecks, and toil.
Expertise in Bazel and CMake for codebases consisting mainly of C++ and Python.
Hands-on experience building reliable and scalable CI/CD pipelines (GitLab, GitHub).
Experience with automation of physical systems, such as Hardware-In-the-Loop test setups.
Proficient at resolving intricate issues when faced with uncertainty.
Excellent communication skills and a collaborative approach to working effectively with diverse teams.
Ways to Stand Out from the Crowd:
Practical experience with tools used in the NVIDIA robotics ecosystem such as Jetson, Isaac Sim, Warp, and CUDA.
Familiarity with advanced robotics concepts and real-world deployment challenges.
Experience with remote caching and execution with Bazel.
Demonstrated success in deploying intricate robotics systems across diverse settings.
You will also be eligible for equity and .
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