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Senior Solutions Architect, Embedded Physical AI

NVIDIA· Architect, Solutions
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Hybrid (Santa Clara, CA), Remote$152k - $241.5kFull-timePosted 3mo ago

About the role

Hands-on Solutions Architect with deep embedded systems expertise to serve as the technical anchor for NVIDIA’s Physical AI ecosystem, bridging hardware bring-up, sensor integration, and deployment of robotics models to production-grade AI-accelerated robotics systems.

Responsibilities

  • Serve as the primary embedded systems expert for NVIDIA Physical AI partners using technologies such as Jetson, Holoscan, Isaac ROS, Isaac OS, GR00T.
  • Engage with customers to ensure smooth integration of production stacks, including real-time Linux environments, ROS 2, sensor pipelines, and edge AI models.
  • Deploy, profile, and optimize robotics foundation models (VLAs, World Models) on embedded computers and guide customers on tradeoffs
  • Translate customer requirements into practical NVIDIA-based architectures, and work closely with internal teams to feed field insights into product feedback and roadmap priorities.
  • Lead technical discussions, presentations, and hands-on workshops with key partners, while developing proof-of-concepts, and reference implementations.

Qualifications

  • BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field (or equivalent experience).
  • 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson, performance tuning, and system-level debugging.
  • Strong fluency in ROS 2 and background in deploying robotics autonomy stacks, and sim-to-real validation workflows.
  • Previous work integrating sensor pipelines such as cameras, LiDAR, and IMU
  • Proven expertise in AI model deployment, optimization, and GPU profiling on edge hardware, using SDKs like TensorRT
  • Outstanding communication and collaboration skills, with the ability to translate complex technical concepts for researchers, engineers, and business teams.

Skills

Required:Embedded systems engineeringROS 2CUDA / TensorRT

Benefits

  • equity
  • benefits (as per NVIDIA benefits)
Last updated Jul 10, 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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