In this role, you will lead the development, crafting, and refinement of core platform features for NVIDIA's Robotics Platform. This platform delivers an end-to-end software and hardware solution driving the future of Physical AI. You will influence how developers engage with the platform and build reference integrations, examples, and tools that support developers in bringing physical AI to life.
Key responsibilities include:
- Leading the development of new Robotics Platform runtime features, optimizations, tooling, and developer-facing APIs , with a strong emphasis on performance and reliability.
- Building clear, comprehensive, and AI agent-ready reference applications, benchmarks, skills, and tutorials showcasing platform capabilities in real-world robotics scenarios.
- Optimizing the platform to best leverage NVIDIA's hardware for sensor I/O processing and physical AI.
- Coordinating with partner teams (hardware, simulation, AI frameworks, developer relations) to align priorities, resolve dependencies, and ship cohesive platform experiences.
- Establishing and championing engineering guidelines across the team: code quality, testing protocols, performance measurement, observability, and adoption of agentic AI for accelerated development.
Requirements include:
- MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent experience).
- 10+ years of software engineering experience with a focus on systems software, robotics, or developer tooling, including technical lead or staff engineering role.
- Proven experience in developing and shipping robotic products.
- Proven experience leading or mentoring engineers , setting technical direction, conducting build reviews, and growing team members' capabilities.
- 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 and multiply team output.
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