About the role
NVIDIA has been redefining computer graphics, PC Gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by phenomenal technology – and outstanding people. Today, we are 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, encouraging environment where everyone is inspired to do their best work.
The HWPM Team at NVIDIA is seeking an excellent ASIC Verification Engineer to drive high-quality, robust verification of system-level IP across unit, subsystem, and SoC levels. This role is ideal for someone passionate about ground-breaking hardware, sophisticated verification methodologies, and crafting the future of computing. Come join the team and see how you can make a lasting impact on the world.
What You’ll Be Doing:
Play a key role in the Hardware Performance Monitor (HWPM) team, helping define and develop system-level RTL and performance measurement methodologies for NVIDIA’s industry-leading SoCs and GPUs.
Develop comprehensive test plans, implement tests, and apply robust verification strategies to validate microarchitecture and design functionality.
Design and implement reusable, scalable testbenches and testbench components using System Verilog and UVM.
Collaborate with architects, RTL designers, and software engineers to drive feature completeness, performance visibility, and verification closure.
What we need to see:
M.Tech. (or equivalent) in VLSI or Electronics Engineering OR B.Tech with 2+ years of experience in a similar domain
Hands-on experience in unit and/or system level verification
Ability to contribute to testbench development and maintenance, preferably using System Verilog and standard methodologies
Proficiency in Python or industry-standard scripting languages for automation and test development
Proven debugging fundamentals — ability to read waveforms, analyze logs, and isolate issues effectively
Familiarity with industry-standard tools such as VCS, Xcelium, Verdi, or similar simulation/debug environments
Good understanding of RTL design concepts and experience working with Verilog or SystemVerilog
Experience with UVM (Universal Verification Methodology) is a strong plus
Clear communication skills and collaborative attitude, with ability to work alongside design, DV, and automation teams
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Also, e have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our outstanding engineering teams are growing fast. If you are creative, curious, and motivated with a real passion for technology, we want to hear from you!
#LI-Hybrid
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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