Custom SOC IP Verification Engineer

Posted 11 Days Ago
Be an Early Applicant
2 Locations
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify fabric and interconnect IP and full-chip SoC integrations using SystemVerilog/UVM testbenches. Develop constrained-random and directed tests, protocol compliance checks, performance analysis, and collaborate with architecture, design, emulation, and post-silicon teams to ensure correct, high-performance interconnects.
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.

NVIDIA is seeking a Senior Custom SOC/IP Verification Engineer to verify the next generation SoC and IP solutions! We are looking for special individuals with desire to deliver innovative products. Together, we will build the next generation of life changing custom SOCs! If you are a motivated individual that understands how complex SOC and IPs are built, has intimate knowledge of client requirements, and understand various development cycles, this is your place to be. This role specifically requires a skilled ASIC Verification Engineer with expertise in fabric and interconnect verification, spanning both IP and SoC integration. You will play a key role in verifying the correctness, performance, and compliance of on-chip fabrics and interconnect subsystems — from IP bring-up through full chip integration — ensuring robust and high-performance connectivity across complex SoC designs. This position demands a motivated individual who understands how complex SOCs and IPs are built, has intimate knowledge of client requirements, and comprehends various development cycles. It requires deep knowledge of SystemVerilog and UVM, along with a solid grasp of ASIC verification methodologies.

What you'll be doing:

  • Responsible for ASIC design verification of fabric and interconnect IP blocks as well as full chip integration, covering DMA, routing, arbitration, ordering, flow control, and protocol compliance.

  • Develop and implement test plans for fabric and interconnect verification of SoCs using UVM-based environments, targeting both IP-level and system-level scenarios.

  • Design and implement constrained-random and directed SystemVerilog testbenches targeting interconnect fabrics, network-on-chip (NoC) topologies, and multi-agent SoC integrations.

  • Collaborate extensively with Architecture, SW/FW, Design, Modeling, Emulation, and Post-Silicon Validation teams to ensure comprehensive first-time right verification plans and execution.

  • Drive the development of silicon and platform verification strategies and methodologies for fabric and interconnect subsystems.

What we need to see:

  • B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).

  • 6+ years of experience in ASIC verification, with a strong focus on fabric, interconnect, or network-on-chip verification at both IP and full chip levels.

  • Strong knowledge of SystemVerilog and UVM methodology.

  • Hands-on experience with industry-standard interconnect and bus protocols (e.g., AMBA AXI, CHI, or equivalent), with solid understanding of ordering, coherency, and flow control semantics.

  • Familiarity with SoC architectures, NoC topologies, and multi-initiator/multi-target interconnect designs.

  • Proficiency in scripting languages (Python, Perl, TCL).

Ways to stand out from the crowd:

  • Knowledge of performance verification and bandwidth/latency analysis for interconnect fabrics.

  • Exposure to verification IPs for bus protocols, or emulation platforms (e.g., Palladium, Veloce) for full chip fabric validation.

  • Experience in GPU or AI accelerator SoC interconnect verification is desirable.

  • Experience with formal verification or assertion-based verification (SVA) applied to fabric and protocol properties.

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/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 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

  • B.S. or M.S. in Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • 6+ years of ASIC verification experience focused on fabric, interconnect, or NoC verification at IP and full-chip levels.
  • Strong knowledge of SystemVerilog.
  • Strong knowledge of UVM methodology.
  • Hands-on experience with interconnect and bus protocols (e.g., AMBA AXI, CHI, or equivalent).
  • Familiarity with SoC architectures, NoC topologies, and multi-initiator/multi-target interconnect designs.
  • Experience verifying DMA, routing, arbitration, ordering, flow control, and protocol compliance.
  • Proficiency in scripting languages (Python, Perl, TCL).
  • Knowledge of performance verification and bandwidth/latency analysis for interconnect fabrics.
  • Exposure to verification IPs for bus protocols or emulation platforms (e.g., Palladium, Veloce).
  • Experience in GPU or AI accelerator SoC interconnect verification.
  • Experience with formal verification or assertion-based verification (SVA).

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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