Senior GPU Engineer, Edge AI for Robotic Systems

Intuitive Surgical, Inc.

San Francisco (CA)

On-site

USD 160,000 - 271,000

Full time

14 days+

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Job summary

Intuitive Surgical, Inc. is seeking a Senior Systems GPU Engineer - AI & Robotics to advance high-performance robotic AI for edge and cloud platforms.

You will collaborate with research, software/hardware, and clinical teams to translate ML ideas into validated medical device products. Responsibilities span performance optimization, system integration, Linux virtualization, and cross-functional collaboration across edge, firmware, OS, and cloud services, enabling safe and scalable embodied

Qualifications

  • Master's degree or higher in Computer Science, Computer Engineering, or related technical field; advanced degrees preferred.
  • 6+ years of embedded systems software development with real-time, high-performance embodied AI and perception systems.
  • Expert in GPU Compute API - CUDA, OpenCL.
  • Proficiency in C/C++, Python, Bash and building real-time, multi-threaded applications.

Responsibilities

  • GPU & Model Performance & Optimization: Advanced skills using profiling, tracing, and debugging tools to identify bottlenecks and implement improvements.
  • System Architecture & Integration: Design and optimize software interfaces between robotic subsystems, ensuring seamless integration between edge AI, firmware, OS, hardware, and cloud services.
  • Linux Systems & Virtualization: Development of Linux kernel internals, device drivers, memory management, and containerized GPU runtime environments (e.g., Docker, NVIDIA Container Toolkit, Kubernetes).
  • Project Ownership & Strategy: Lead complex, end-to-end embodied intelligence projects, defining the roadmap for the robotics platform and making strategic trade-offs.
  • Cross-Functional Collaboration: Partner with motion controls, perception, and hardware teams during early-stage exploration to address clinical and safety requirements.
  • Iterative Development: Refine designs balancing feasibility with schedules and resources.

Skills

CUDA
OpenCL
C/C++
Python
Bash
Real-time systems
Embodied AI
Linux
Interprocess communication

Education

Master's degree or higher in CS/CE
Advanced degrees preferred

Tools

NVIDIA Nsight Systems
Nsight Compute
Docker
NVIDIA Container Toolkit
Kubernetes
QNX
Yocto

Job description

Intuitive Surgical, Inc. is seeking a Senior Systems GPU Engineer - AI & Robotics to advance high-performance robotic AI for edge and cloud platforms.

You will collaborate with research, software/hardware, and clinical teams to translate ML ideas into validated medical device products. Responsibilities span performance optimization, system integration, Linux virtualization, and cross-functional collaboration across edge, firmware, OS, and cloud services, enabling safe and scalable embodied

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