Senior System Software Engineer, Robotics

NVIDIA Corporation
Santa Clara, CA, United States
4 days ago
Apply on nvidia.wd5.myworkdayjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$152,000.0 - $241,500.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Software Applications Code Review Computer Engineering Software Debugging Linux Device Drivers Distributed Systems Middleware Embedded Software Firmware Hardware-In-The-Loop Simulation
+11 more
Performance Tuning Software Architecture Robotic Automation Software Systems Architecture System Software System Testing Systems Integration Reinforcement Learning Real Time Systems Information Technology Multiaccess Edge Computing

Job description

We are now looking for a Senior System Software Engineer to join our Robotics Team, with a strong focus on humanoid robots and embodied intelligence. For two decades, NVIDIA has pioneered visual computing through the invention of the GPU, the engine of modern accelerated computing. Today, this foundation powers breakthroughs across gaming, film, scientific research, autonomous machines, and robotics. Our team is building a robotics platform for the next generation of intelligent robots, including humanoid systems. 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.

What you’ll be doing:

  • 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 critical 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).
  • 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 both physical hardware and 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.

Ways to stand out from your crowd:

  • Experience building and shipping humanoid robotic systems or reference platforms.
  • Background with 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 (HIL) 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 & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

About the company

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on nvidia.wd5.myworkdayjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

2:19 min

Orchestrating over-the-air firmware updates for vehicle modules

Denis Grahovac · World Congress 2021

1:18 min

Implementing routing middleware for seamless multi-fragment origination

Igor Minar Igor Minar +1 · World Congress 2025

1:39 min

Core skills required for robust robotic systems

Falk-Moritz Schaefer · World Congress 2022

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

Videos

See all

Related articles

See all