About the role
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
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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