Senior PCIe Design Verification Engineer

Reposted Yesterday
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain reusable UVM/Specman-e testbenches to verify PCIe controllers at IP/sub-system level. Create constrained-random, coverage-driven tests, monitors, checkers and scoreboards. Define verification scope and test plans, collaborate with architects, designers, and silicon teams to debug and validate designs across product generations.
Summary Generated by Built In

NVIDIA is seeking elite Senior Verification Engineers to verify the design and implementation of the next generation of PCI Express controllers for the world’s leading GPUs and SOCs by developing scalable testbench that is re-usable across different verification methodologies and environments. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. 

The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”

What you’ll be doing:

  • Verification of the ASIC design, architecture, and micro-architecture of PCIE controllers for multiple product generations for GPUs, SOCs & DPUsat IP/sub-system levels using standard verification methodologies such as UVM and Specman/e.

  • Develop UVM or Specman/e based testbench components reusable across verification methodologies and integrate those across verification environments.

  • Build or improve reusable testbench components including constraints, stimulus, monitors, checkers and scoreboards following coverage based verification methodology.

  • Understand complex testbench and its verification scope with respect to the design specification and implementation, define new verification scope as per design or verification methodology requirements, develop test plans, tests, and the verification infrastructure and verify the correctness of the design.

  • Collaborate with multiple verification teams, architects, designers, and pre and post silicon verification teams to accomplish your tasks.

What we need to see: 

  • Bachelors or Masters degree with 5+ years of experience in Unit/Sub-system/SOC level verification

  • Proficiency in SystemVerilog

  • Expertise in comprehensive verification of industry standard IP or interconnect protocols (e.g. PCI Express, CXL, UCIe, USB, SATA)

  • Experience in developing and working in functional coverage based constrained random verification environments

  • Skillful in verification methodologies like UVM, Specman/e, as well as re-usable testbench architecture and its development

  • Exposure to industry standard verification tools for simulation and debug

Ways to stand out from the crowd: 

  • Familiarity with both UVM and Specman/e based verification methodologies 

  • Good knowledge of PCIE protocol - Gen3 and above 

  • Great debugging and analytical skills

  • Excellent interpersonal skills & dream to work as a great teammate

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

Skills Required

  • Bachelor's or Master's degree
  • 5+ years of Unit/Sub-system/SoC level verification experience
  • Proficiency in SystemVerilog
  • Expertise in verification of industry standard IP/interconnect protocols (PCI Express, CXL, UCIe, USB, SATA)
  • Experience with functional coverage based constrained-random verification
  • Experience with verification methodologies and reusable testbench architecture (UVM, Specman/e)
  • Exposure to industry standard simulation and debug verification tools
  • Familiarity with both UVM and Specman/e (preferred)
  • Good knowledge of PCIe protocol (Gen3 and above) (preferred)
  • Strong debugging and analytical skills (preferred)
  • Excellent interpersonal and teamwork skills (preferred)

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.

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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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