Senior System Software Engineer, Robotics

Details

We are looking for a Senior System Software Engineer to join the Robotics Team, with a strong focus on humanoid robots and embodied intelligence. NVIDIA's Isaac Robotics Platform brings together high-fidelity physical and visual simulation, scalable system software, optimized robotics and AI algorithms, and powerful edge computing platforms to serve as the brain of intelligent machines. You will work with experts across robotics, systems, AI, and simulation to enable real-world deployment of embodied AI on humanoid robots and help shape how foundation models and learning-based policies are integrated into production robotic systems.

Responsibilities

• Develop system software, runtime components, tools, and workflows that enable reliable, performant deployment of embodied AI models on real robots.
• Optimize model execution and system performance across compute, memory, networking, sensors, and actuators.
• Build validation, testing, benchmarking, and observability infrastructure spanning simulation, hardware-in-the-loop environments, and physical robots.
• Measure and improve system-level metrics, including end-to-end latency, determinism, throughput, reliability, resource utilization, and startup performance.
• Debug complex issues across application software, middleware, operating systems, device drivers, firmware, and hardware.
• Work with AI, simulation, hardware, platform, and partner teams to bring up, validate, and harden robotic systems for real-world deployment.
• Own technical issues through investigation, root-cause analysis, resolution, and field validation.
• Contribute to architectural decisions, review code, and uphold high standards for system software quality, maintainability, and operational readiness.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field, or equivalent experience.
• At least 5 years of experience developing robotics, embedded, platform, distributed, or system software.
• Strong understanding of robotics system architecture, platform software, and hardware-software integration.
• Hands-on experience bringing up, debugging, and deploying complex robotic systems on physical hardware and in simulation.
• Strong knowledge of Linux, embedded software, distributed computing, and real-time systems.
• Proven ability to provide technical leadership and deliver complex projects across multiple functions.
• Strong communication skills and the ability to collaborate with teams across global organizations.

Preferred Qualifications

• Experience building and shipping humanoid robotic systems or reference platforms.
• Experience deploying foundation models, embodied AI models, or reinforcement learning policies on physical robots.
• Experience evaluating learning-based robotic policies in simulation, including task success, robustness to disturbances, and generalization across tasks and environments.
• Experience building hardware-in-the-loop testing and automated benchmarking pipelines to measure closed-loop policy performance, validate real-time execution, and detect regressions across simulation and physical hardware.
• Strong background in perception, sensor integration, performance optimization, and system validation.

Benefits

The role includes eligibility for equity and benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until September 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.