Senior ASIC Verification Engineer, Coherent High Speed Interconnect

Posted 7 Days Ago
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2 Locations
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The ASIC Verification Engineer will verify high-speed coherent interconnect designs using advanced methodologies, requiring collaboration with various teams and the development of infrastructure for testing.
Summary Generated by Built In

We are now looking for a ASIC Verification Engineer - Coherent High Speed Interconnect! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research.

Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving the most complex problems in everyday life. As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, 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. Relocation and immigration support is provided for this role.

What you'll be doing:

  • Responsible for verification of high-speed coherent interconnect design, architecture, golden models, and micro-architecture using sophisticated verification methodologies.

  • You'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design.

  • Collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks.

What we need to see:

  • Bachelors or Master’s Degree (or equivalent experience); 5+ years of relevant verification experience.

  • Experience in architecting test bench environments for unit level verification.

  • Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies. Prior Design or Verification experience of Coherent high-speed interconnects.

  • Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI will be useful.

  • Strong background developing TB's from scratch using SV and UVM methodology is desired.

  • C++ programming language experience, scripting ability and an expertise in System Verilog.

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

  • Strong debugging and analytical skills. Experienced communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.

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.

#LI-Hybrid

Top Skills

C++
Chi
Cxl
Pcie
System Verilog
Uvm
Vcs
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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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