← All roles

Principal SoC Architect, Robotics and Automotive

NVIDIA· Architect
Apply on company site
Santa Clara, CA$272k - $431.3kFull-timePosted 3mo ago

About the role

Lead the architectural definition of SoCs for Edge AI, Robotics, and Autonomous Driving platforms, bridging robotics applications, automotive safety, and silicon design.

Responsibilities

  • End-to-End SoC Lifecycle Ownership: Define and drive the hardware architecture from early concept through bring-up and ecosystem enablement.
  • Robotics & Automotive Co-Design: Collaborate with software, deep learning, and safety teams to co-design hardware feature sets for low-latency robotics spatial computing, sensor fusion, and autonomous driving pipelines.
  • PPA Modeling & Analysis: Perform performance, power, and area modeling, optimizing for thermally constrained robotic enclosures and automotive ECUs.
  • Specification & Modeling: Author architecture specifications and drive development of models to validate architectural choices.
  • Architectural Validation: Define validation plans to ensure hardware meets real-time execution and safety metrics.
  • Post-Silicon & Production Support: Participate in silicon debug, performance tuning, and generation of user documentation for tier-1 robotics and automotive customers.

Qualifications

  • 15+ years of deep architecture design experience in high-performance silicon.
  • Meaningful industry expertise in top-level SoC definition.
  • Robotics & Automotive I/O: Practical knowledge of high-speed interfaces (PCIe, GMSL/Camera interfaces, Time-Sensitive Networking/TSN).
  • Advanced Subsystems: Multimedia/vision accelerator pipelines, CPU/GPU cache coherency, Virtualization, and Hardware Security.
  • Deterministic & Real-Time Compute: Deep understanding of hardware support for RTOS, deterministic latency, and mixed-criticality workloads.
  • Cross-Functional Technical Leadership: Exceptional ability to communicate, negotiate, and solve technical hurdles across all abstraction levels—from micro-architecture to software application layers.
  • Education: Master’s or PhD in Computer Engineering, Electrical Engineering, or equivalent experience.

Skills

Required:SoC ArchitectureHigh-speed interfacesMultimedia/Vision acceleratorsCPU/GPU cache coherenceRTOS & real-time compute
Nice to have:SystemC/C++/Python

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Oct 16, 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.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA