1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop system software, runtime components, tools, and workflows for deploying 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 latency, determinism, throughput, reliability, resource utilization, and startup performance.
- Debug issues across application software, middleware, operating systems, device drivers, firmware, and hardware.
- Collaborate with AI, simulation, hardware, platform, and partner teams to bring up, validate, and harden robotic systems.
- Own technical issues through investigation, root-cause analysis, resolution, and field validation.
- Contribute to architecture, code reviews, software quality, maintainability, and operational readiness.
Requirements
- Bachelor’s, master’s, 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.
- Demonstrated technical leadership and ability to deliver complex projects across multiple functions.
- Strong communication and cross-functional collaboration skills.
- Preferred experience includes humanoid robotic systems, foundation or embodied AI models, reinforcement learning policies, simulation-based policy evaluation, hardware-in-the-loop testing, automated benchmarking, perception, sensor integration, performance optimization, and system validation.
Benefits
- Base salary ranges from $152,000 to $241,500 for Level 3 and from $184,000 to $287,500 for Level 4, depending on location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Applications are accepted at least until September 27, 2026.
- The posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.