NVIDIA
Principal SoC Architect, Robotics and Automotive
$272K–$489K
US, CA, Santa Clara · Principal · Full-time · Posted Oct 9, 2026
- Experience
- 15+ years of deep architecture design experience in high-performance silicon.
- Education
- Master’s or PhD degree in Computer Engineering, Electrical Engineering, or equivalent experience.
About the job
Defines and validates SoC architectures for NVIDIA robotics, autonomous driving, and edge AI platforms, from early design through silicon bring-up and production support.
What you'll do
- Own SoC architecture across the lifecycle, including specifications, modeling, validation, bring-up, and ecosystem enablement.
- Co-design hardware with software, deep learning, and safety teams for robotics and autonomous driving workloads; model performance, power, and area.
- Support silicon debug, performance tuning, and customer documentation.
What they ask for
- Top-level SoC architecture expertise and deep architecture design experience in high-performance silicon.
- Practical knowledge of high-speed interfaces, including PCIe, GMSL/Camera interfaces, or TSN.
- Expertise in vision and multimedia pipelines, CPU/GPU cache coherency, virtualization, and hardware security.
- Deep understanding of RTOS hardware support, deterministic latency, and mixed-criticality workloads; strong cross-functional technical leadership.
Nice to have
- Experience in functional safety and end-to-end solutions meeting safety requirements; mapping complex Edge AI workloads to custom architectures.
- Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling.
Pay
272,000 USD - 431,250 USD base salary (Level 6); 320,000 USD - 488,750 USD base salary (Level 7)
Tools
PCIe, GMSL/Camera interfaces, Time-Sensitive Networking/TSN, RTOS, SystemC, C++, Python
AI focus
Architects SoCs for Edge AI and robotics workloads, including transformer-based vision models, SLAM, and path planning.
Model-written summary · the original posting is authoritative