Principal SoC Architect - Hardware

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Principal SoC Architect will lead end-to-end hardware architecture, focusing on SoC design for machine learning and automotive applications, involving collaboration across teams and validation of performance specifications.
Summary Generated by Built In

We are now looking for a Principal Hardware SoC Architect for our Tegra team! Do you want to be part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning experts to define the next generation SoC?

NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most advanced SoC's in the world for these applications and are looking for SoC architects to join our effort. In this position, you will have the chance to define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you’ll be doing:

  • Hardware architecture end-to-end lifecycle ownership

  • Drive Architecture/Software/Hardware co-design and collaboration on features set

  • Perform performance, perf @ watt, perf / sq. mm modeling or analysis and track through design (where applicable)

  • Architecture and requirements specification authoring, review, and System C model development (where applicable)

  • Architectural validation plan and execution

  • Review downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed

  • Post-Silicon production support with silicon debug and publishing of customer documentation

  • Industry standards tracking & 3rd party IP technical evaluation

  • Patenting novel parts of system architecture

What we need to see:

  • Bachelors, Masters or PhD degree in Computer Engineering, Electrical Engineering (or equivalent experience)

  • 15+ years of architecture, design and/or verification experience

  • You have meaningful industry expertise in SoC architecture definition - Clocks, Resets, Automotive safety, Interconnects, Memory Controller, Boot, Virtualization, Power Management, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Multimedia accelerator pipelines, CPU/GPU coherency, Platform integration

  • Comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture

  • Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a team

Ways to stand out from the crowd:

  • Automotive Functional Safety expertise, working experience with ISO26262 standard.

  • System C or C++ development skills, or relevant programming experience.

  • Inventions in one or more domains relevant to SoC architecture.

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelors, Masters or PhD degree in Computer Engineering or Electrical Engineering
  • 15+ years of architecture, design and/or verification experience
  • Industry expertise in SoC architecture
  • Automotive Functional Safety expertise with ISO26262 standard
  • System C or C++ development skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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