Software Manager, Robotics Platform Engineering
NVIDIA· Mgmt, Sys SW
Shanghai, Chinafull-timePosted 1mo ago
About the role
Lead NVIDIA’s Robotics Platform Engineering team in China (Shanghai) focused on humanoid robotics and embodied AI. Build and deploy reference robotics platforms, drive system integration, platform bring up, validation, and adoption in collaboration with global teams and partners.
Responsibilities
- Build and lead NVIDIA’s Robotics Platform Engineering team in China, based in Shanghai.
- Recruit, mentor, and develop engineering talent including technical leads and senior engineers.
- Define technical strategy, organizational priorities, and execution roadmap for next generation robotics reference platforms.
- Drive end to end system integration across robotics software stacks (perception, control, foundation models, learning-based policies, runtime systems, cloud connected services).
- Lead platform bring up and validation across compute modules, cameras, sensors, networking, safety systems, and robotic subsystems.
- Define scalable reference platform architectures for multiple robot vendors, form factors, and deployment scenarios.
- Partner with AI, simulation, hardware, product, platform, and ecosystem teams to align roadmaps and execution.
- Work directly with strategic robotics partners and customers to accelerate platform adoption and real world deployment.
Qualifications
- MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field, or equivalent experience.
- 8+ years of experience in robotics, embedded, platform, distributed, or systems software.
- 3+ years of engineering management experience leading software or systems engineering teams and running complex programs across multiple functions.
- Strong understanding of robotics system architecture, platform software, and hardware-software integration.
- Experience bringing up and deploying complex robotic systems on physical hardware.
- Strong understanding of Linux systems, embedded software, distributed computing, and real-time systems.
- Strong communication, leadership, and organizational skills.
- Ability to influence decisions and align collaborators across global organizations.
Skills
Required:Robotics system architectureLinux systemsEmbedded softwareSystem integrationPeople managementPlatform bring up and validation
Last updated Sep 11, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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