Senior System Verification Engineer

Reposted 5 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior System Verification Engineer will support emulation environments, debug GPU and SOC issues, and collaborate with various teams.
Summary Generated by Built In

NVIDIA is looking for a Senior System Verification Engineer to join our Emulation division. We are a worldwide recognized division noted for groundbreaking technology. We are work-flex, family and diverse team! NVIDIA invention of the GPU in 1999 accelerated 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new adventurous opportunities, that only we can seek, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Join us today!

What you will be doing:

  • We support multiple emulation environments using the latest emulation techniques (C/C++ DPI Transactors, SV assertions, Coverage, Power Estimation, SpeedBridges, Accelerated UVM Testbenches).

  • Bring up GPUs, SOCs, Switch, NIC on emulation, root causing system level test fails and emulator environment issues.

  • Bring-up and verify High Speed protocols like PCIe/CXL/NVLINK/IB/Ethernet etc …. Low speed protocols like I2C/I3C/SPI/UART

  • Bring-up/debug issues related to CPU and GPU Coherency

  • We have continual collaboration with Design, DV, Power, Silicon Validation, Performance, and Software teams.

  • Work constructively leading emulation vendors to debug issues using various tools.

  • Write monitors and checkers that aid debug in HW test issues and FW/SW bring-up

What we need to see:

  • M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field.

  • 8+ years of proven experience.

  • Individual should be proficient in Verilog and/or VHDL, C/C++ and SystemVerilog.

  • Must have: Protocol knowledge of at least one of the High-speed interfaces: PCIe/CXL/NVLINK/IB/Ethernet etc ….

  • Good to have: Low-speed protocols like I2C/I3C/SPI/UART and BMC interaction in server platforms

  • Working Knowledge of CPU - GPU coherency

  • Experience with UVM verification environments and scripting with Perl, Python and C/C++ is essential.

  • Be familiar with hierarchical design approach, top-down design, SoC and system level verification.

  • Candidates will be working on-site at our Santa Clara, CA location.

NVIDIA is on the move and our technology and vision position us as one of the world’s most desirable employers. We have some of the most forward-thinking and talented people on our journey. If you're inventive and autonomous, we want to hear from you

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C,C++,Verilog,Vhdl,Systemverilog,Perl,Python,Uvm
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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