Senior Verification Engineer - Memory Subsystem

Posted 14 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Verification Engineer at NVIDIA, you will verify ASIC design and micro-architecture for memory subsystems. Responsibilities include defining verification scope, developing infrastructure, creating test plans, and ensuring correctness of the design, while collaborating with architects and pre/post silicon teams.
Summary Generated by Built In

NVIDIA is seeking is seeking passionate, highly motivated, and creative Senior Verification Engineer to verify the design and implementation of the next generation of memory subsystem units for the world’s leading GPUs and SOCs. 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're 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:

  • Responsible for verifying the ASIC design, architecture and micro-architecture using advanced verification methodologies.

  • Expected to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

  • Come up with test plans, tests and verification infrastructure for complex IPs/sub-systems.

  • Responsible for performance and deadlock verification of the GPU memory subsystem unit.

  • Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.

  • Perform functional coverage driven verification closure.

  • Working with architects, designers, and pre and post silicon verification teams to accomplish your tasks.

What we need to see:

  • B.Tech./ M.Tech. with 5+ years of relevant experience

  • Experience in verification of complex IPs/units and sub-systems

  • Verification experience using random stimulus along with functional coverage and assertion-based verification methodologies

  • Expertise in Verilog

  • Knowledge in SystemVerilog or similar HVL

  • Familiarity with verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug

Ways to stand out from the crowd:

  • Experience in memory subsystem or network interconnect IP verification

  • Good debugging and analytical skills

  • Scripting knowledge (Python/Perl/shell)

  • Good 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.

Top Skills

Systemverilog
Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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