About the role
NVIDIA is seeking a highly enthusiastic and motivated Verification Engineer to verify the design and implementation of the next generation of control subsystems for the world’s leading GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We are united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science.
The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”
What you’ll be doing:
As a key member of our ASIC Verification team, you will contribute to verifying graphics and compute features within an IP.
You will be responsible for IP-level verification of GPU ASICs, including the design, architecture, golden models, and micro-architecture, using advanced verification tools and methodologies.
You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify.
You are expected to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
Work with HW architects and designers to make the right implementation choices.
You will be working with architects, designers, and other members of your verification teams to accomplish your tasks.
What we need to see:
B.Tech./ M.Tech. with 1+ years of relevant experience
Familiarity with Verilog, C++ and OOPs concepts.
Hands-on experience in verification at Unit/Sub-system/SOC level.
Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).
Good understanding of computer architecture concepts.
Strong technical fundamentals with superior analytical skills and problem-solving skills
Knowledge in SystemVerilog or similar HVL, experience in verification methodologies like UVM/VMM is highly desirable
Exposure to industry standard verification tools for simulation and debug
Ways to stand out from the crowd:
Prior experience in 3D graphics processing, processor verification.
C/C++ programming language experience
Experience in scripting and tool development using Perl and Python
Excellent debugging skills
Good interpersonal & communication skills & dream to work as a great teammate
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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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