SOC Hardware Engineer - New College Grad 2026

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Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA is hiring a recent college graduate SOC Hardware Engineer to analyze, architect, and design next generation SoC and networking solutions. We are looking for special individuals with a passion and desire to deliver innovative products. Together, we will build the next generation of life changing SoC's. If you are a motivated individual with knowledge of computer architecture, digital logic, and chip design, this is your place to be. 

 

What you'll be doing: 

  • Working with HW and SW Architects and designers to determine optimal microarchitectures and design tradeoffs. 

  • Identifying micro-architectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues. 

  • Understanding and helping drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products. 

  • Modeling, analyzing and explaining the performance and power advantages of Nvidia chips and guide customers and firmware engineers to extract the most performance from micro-architectural structures. 

 

What We Need To See: 

  • Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).

  • Coursework and/or projects focused on computer architecture, performance, and system design. 

  • Clear understanding of the performance, power and security implications of micro-architectural features. 

  • Strong interpersonal, communication and teamwork skills. 

  • A drive to continuously learn and expand architectural and micro-architectural breadth and depth. 

  • Excellent coding and algorithmic thinking skills. 

 

Join the future of chip design, you will work on groundbreaking products with a dedicated team! 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 20, 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.

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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