Principal SoC Architect, Robotics and Automotive

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $272,000–$431,250 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k

This role $352k

$148k most similar roles pay here $462k

This role pays more than 98% of similar roles. Most pay $197,500–$257,850 — the shaded band above. At the midpoint, this role pays about $352k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Principal SoC Architect, Robotics and Automotive

Role Posting Log in to save

As a Principal SoC Architect, Robotics and Automotive, you will join the architecture team to drive the next generation of Edge AI, Robotics, and Autonomous Driving platforms. You will own the architectural definition of SoCs that integrate GPUs, computer vision accelerators, and real-time processors into a single silicon fabric. Your daily responsibilities include end-to-end lifecycle ownership from concept through bring-up, performing PPA modeling for thermally constrained enclosures, and authoring high-quality specifications to validate architectural choices. You will collaborate with software and safety teams to co-design hardware for low-latency spatial computing and sensor fusion. Required expertise includes high-speed interfaces like PCIe and TSN, multimedia pipelines, CPU/GPU cache coherency, virtualization, and hardware security. You must possess deep knowledge of RTOS support and deterministic latency while utilizing SystemC, C++, or Python for modeling.

Skills

SoC Architecture SystemC C++ Python GPU RTOS PCIe GMSL TSN Computer Vision Hardware Security Virtualization PPA Modeling Silicon Debug SLAM Automotive Safety Standards

What you'll do

Define and drive the hardware architecture from initial concept through bring-up and ecosystem enablement.
Design SoC features tailored for low-latency robotics spatial computing and autonomous driving pipelines.
Perform rigorous performance, power, and area modeling for thermally constrained robotic enclosures and automotive ECUs.
Author high-quality architecture specifications and develop models to validate architectural choices.
Define validation plans to ensure hardware meets strict real-time execution and safety metrics.
Participate in silicon debug, performance tuning, and the creation of user documentation for customers.
Map complex Edge AI workloads like transformer-based vision models onto custom hardware architectures.

What we're looking for

15+ years of deep architecture design experience in high-performance silicon.
Master’s or PhD degree in Computer Engineering, Electrical Engineering, or equivalent experience.
Expertise in top-level SoC definition and hardware architecture from concept through bring-up.
Practical knowledge of high-speed interfaces including PCIe, GMSL/Camera interfaces, and Time-Sensitive Networking (TSN).
Experience with multimedia/vision accelerators, CPU/GPU cache coherency, virtualization, and hardware security.
Deep understanding of real-time operating systems (RTOS), deterministic latency, and mixed-criticality workloads.
Ability to perform rigorous performance, power, and area modeling for thermally constrained environments.
Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling.

Save