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Job Description

We are looking for a best-in-class Senior Full-Chip Verification Engineer with a strong infrastructure mindset to join NVIDIA's Networking Silicon team. In this role, you will be responsible for the development and verification of our next-generation NICs at the system level, while also driving the evolution of the simulation infrastructure powering our verification flows. You will contribute to the architecture of high-speed communication devices by driving full-chip verification execution for the networking solutions powering the world's most advanced data centers, in a meaningful, growing environment where you make a huge impact in a technology-focused company.

What you'll be doing:

  • Simulation Infrastructure & Acceleration: Identify bottlenecks in the verification flow and engineer creative solutions - building frameworks, optimizing regressions, and accelerating simulation throughput through innovative tooling

  • Multi-Language Development: Work across a diverse technology stack (SystemVerilog/UVM, Specman, Python, C/C++, scripting) - writing code and solving problems at every layer, from RTL testbenches to infrastructure utilities and automation.

  • System-Level Debug & Analysis: Gain a strong understanding of chip micro-architecture and features, investigate, debug, and resolve cross-block issues to guarantee feature correctness and compliance

  • AI-Enhanced Development: Accelerate development by leveraging cutting-edge AI coding tools and frameworks - applied to both verification and infrastructure challenges.

  • Cross-Team Collaboration: Work closely with multiple teams within organizations such as Architecture, u-arch, Firmware and all units inside the NIC

What we need to see:

  • Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience

  • 8+ years of experience in verification, HW simulation, or infrastructure development for silicon projects

  • Infrastructure mindset - a proven ability to enhance and scale the systems that drive verification: regression frameworks, simulation performance, tooling, and flow automation

  • Creativity and proactivity - an innovation mindset with a proactive approach to adopting new methodologies and coding tools to solve complex challenges

  • Strong debugging, problem-solving, and analytical skills

  • A team player with good communication and interpersonal skills

Ways to stand out:

  • Experience leveraging AI tools for verification automation or infrastructure acceleration.

  • Experience working in multi-language environments

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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Eligibility

Israel

Right to work in Israel required.

Workplace

On-site

Job Overview
Job Posted:
1 month ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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