Senior ASIC Verification Engineer

Reposted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior ASIC Verification Engineer will verify advanced networking ASICs, lead verification efforts, and ensure correctness and performance of chip designs.
Summary Generated by Built In

We are looking to hire a Chip Design Verification Engineer to join NVIDIA Chip Design group. The work environment is versatile, educational, dynamic and challenging as our employees are currently working on innovative, next-generation networking devices at the forefront of technology in terms of performance and power efficiency.

Our team is at the heart of this challenge, verifying the industry-leading, high-performance network switching ASICs that form the backbone of the world's most advanced AI data centers. We are seeking a senior verification engineer to help us ensure the quality and correctness of this critical technology.

What you will be doing:

  • Work in a combined design and verification team which develops core units within the Networking silicon.

  • Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements.

  • Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, FW and Post-Silicon validation.

  • Lead the verification effort for core switching fabrics, packet buffering architectures, and traffic management subsystems, ensuring functional correctness and performance at scale.

What we need to see:

  • B.SC./ M.SC. in Computer Engineering /Electrical Engineering/Communication Engineering or equivalent experience

  • 8+ years of proven experience in Design Verification.

  • Proven, hands-on experience verifying sophisticated network switching ASICs, with deep knowledge of core switching logic and advanced buffering architectures

  • Demonstrated ability to own verification strategy and execution from the block-level through full-chip (SoC) integration.

  • Sharp analytical and debugging skills with a track record of root-causing complex hardware, testbench, or software-driven issues.

  • Excellent organizational and communication skills, with the ability to manage priorities and negotiate solutions across design, verification, and architecture teams.

Ways to stand out from the crowd:

  • Deep experience verifying advanced traffic management (TM) and Quality of Service (QoS) features, such as complex schedulers, shapers, and congestion control mechanisms

  • Proven experience building performance-focused verification environments to measure and stress test latency, throughput, and fairness

  • Knowledge in SimVision and Xcelium

NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most resourceful and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

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 November 18, 2025.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.

Top Skills

Simvision
Xcelium
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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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