Principal SoC Architect, Robotics and Automotive

• 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 tailored for low-latency robotics spatial computing, sensor fusion, and autonomous driving pipelines.
• PPA Modeling & Analysis: Perform rigorous performance, power, and area modeling, optimizing specifically for thermally constrained robotic enclosures and automotive ECUs.
• Specification & Modeling: Author high-quality architecture specifications and drive the development of models to validate architectural choices.
• Architectural Validation: Define validation plans to ensure hardware meets strict real-time execution and safety metrics.
• Post-Silicon & Production Support: Participate in silicon debug, performance tuning, and the generation of user documentation for tier-1 robotics and automotive customers.

• Experience: 15+ years of deep architecture design experience in high-performance silicon.
• SoC Architecture Expertise: 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 real-time operating systems (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 degree in Computer Engineering, Electrical Engineering, or equivalent experience.

Ways to Stand Out from the Crowd

• Experience in functional safety and building end to end solutions fulfilling safety requirements
• A proven background in mapping complex Edge AI workloads (e.g., transformer-based vision models, SLAM, or path planning) directly onto custom hardware architectures.
• Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

#ArchitectYourFuture

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 272,000 USD – 431,250 USD for Level 6; and 320,000 USD – 488,750 USD for Level 7.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.