Senior SOC Design Engineer

Reposted 24 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior SOC Design Engineer, you will integrate IP blocks, develop methodologies, streamline SOC design, and ensure high-quality RTL delivery.
Summary Generated by Built In

NVIDIA is looking for a Senior SOC Design Engineer to join our SOC Design team! At NVIDIA, you'll collaborate with brilliant minds to build cutting-edge GPUs and SOCs that power everything from AI to gaming! As a Senior SOC Design Engineer, you'll work at the forefront of technology, integrating advanced ASICs, and partnering with experts in ASIC design, Physical design, CAD, Package Design, Software, DFT, and more. Our ASICs pack hundreds of billions of transistors—pushing the boundaries of performance and sustainability. If you're passionate about automation, efficiency, and making a real impact, NVIDIA SOC Design team is the place to amplify your creativity and accelerate your career.

From pioneering the GPU in 1999—sparking the PC gaming revolution and redefining computer graphics—to leading the charge in AI and deep learning, we are always pushing boundaries." We're a "learning machine," constantly evolving to solve new challenges and seize opportunities that make a real difference. If you're driven by innovation and want to be part of a team that's shaping the future, NVIDIA is where your impact will be felt!

What you'll be doing:

  • Integrate diverse IP blocks to build NVIDIA’s next-generation GPUs and SOCs

  • Develop and refine system-level methodologies and tools for efficient SOC creation

  • Streamline SOC design and assembly through innovative integration efforts

  • Spot inefficiencies in the front-end chip implementation process and propose actionable improvements

  • Ensure high-quality RTL delivery to the physical design team with thorough design quality checks and reviews

  • Collaborate across teams to drive standard methodologies and continuous improvement in SOC development
     

What we need to see:

  • BS or MS in Computer Engineering, Electrical Engineering, or equivalent experience

  • 3+ years of hands-on chip design experience, with a focus on SOC integration and automation

  • Strong analytical and problem-solving skills

  • Expertise in RTL design, SOC integration, and design automation flows

  • Proficiency in Perl, Python, or similar scripting languages

  • Excellent communication and teamwork abilities to build consensus within and across teams

  • Experience in synthesis, padring, and physical design is a plus

Ways to stand out from the crowd:

  • Led SOC automation initiatives that significantly boosted efficiency or quality

  • Hands-on expertise with industry-standard EDA tools and flows, especially for large-scale SOC integration

  • Experience mentoring junior engineers or leading cross-functional technical projects

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the most sophisticated chips in the world? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 10, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • BS or MS in Computer Engineering or related field
  • 3+ years of hands-on chip design experience
  • Proficiency in Perl, Python, or similar scripting languages
  • Expertise in RTL design, SOC integration, and design automation flows
  • Excellent communication and teamwork skills
  • Experience in synthesis, padring, and physical design

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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