CPU and SOC Verification Engineer

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify ARM-based CPU subsystems and SoCs by developing verification plans, testbench components, and UVM/SystemVerilog/C environments. Collaborate with architecture and design teams to validate microarchitectural features, debug RTL and system-level issues, and improve verification strategies using AI-accelerated workflows. The role requires CPU verification experience, ARM architecture knowledge, strong problem-solving skills, and effective communication.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we take pride in pushing the edge of computer graphics, PC gaming, and accelerated computing. As a CPU/SoC Verification Engineer, you will be involved in development of latest ARM architecture-based CPUs that are engineered for AI execution and are a key component of the Agentic AI hardware stack. This position presents a valuable opportunity to work on pioneering CPU projects with experts in the field. If you strive for innovation and excellence, this is where you belong!

What you will be doing:

  • Responsible for verification of ARM architecture-based CPU subsystems and SoCs

  • Develop and execute thorough verification plans and create new testbench components

  • Collaborate closely with design and architecture teams to verify architectural and microarchitectural features

  • Build and enhance UVM/SystemVerilog/C-based verification environments.

  • Debug complex issues spanning RTL, interconnect, and system-level scenarios

  • Analyze and improve existing verification strategies by incorporating AI accelerated workflows to enhance efficiency and effectiveness

What we need to see:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.

  • At least 2+ years of experience in CPU verification.

  • Proven expertise in ARM architecture and/or CPU unit/sub-system/SoC verification.

  • Strong understanding of verification methodologies and tools.

  • Outstanding problem-solving skills and attention to detail.

  • Excellent communication and teamwork abilities.

Ways to stand out from the crowd:

  • Experience with multi-core CPU or large-scale SoC verification.

  • Ability to debug complex system issues involving coherency, interconnect, and memory subsystems.

  • Ability to use AI tools to boot productivity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and independent engineer with a real passion for technology, we want to hear from you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Skills Required

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience
  • At least 2 years of CPU verification experience
  • Expertise in ARM architecture and/or CPU unit, subsystem, or SoC verification
  • Strong understanding of verification methodologies and tools
  • Outstanding problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
  • Experience with multi-core CPU or large-scale SoC verification
  • Experience debugging coherency, interconnect, and memory subsystem issues
  • Ability to use AI tools to improve productivity

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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