Senior Verification Engineer - Hardware

Posted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement UVM-based verification environments and testbenches for complex IP and SoC subsystems. Define test plans, build BFMs, monitors, checkers and coverage, drive verification closure, and collaborate with architects, designers, FPGA and post-silicon teams to ensure robust units.
Summary Generated by Built In

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

We are now looking for passionate, highly motivated and creative individuals to be part of our automotive verification team. As a verification owner, you will work on projects that will define the next generation of automotive chips and systems. You will get firsthand exposure to high performance CPU and Memory sub-systems, NOC based Interconnect Fabric, High speed IO's and many other leading technologies deployed in our Tegra chips.

What you will be doing:

You will be responsible for creation of "state of the art" UVM based verification test benches and methodologies to verify complex IP's and Sub-systems. You will also get to work on System level verification using C/C++. During the course of a project you would end up driving the following aspects of verification for your unit:

  • Architect the testbenches and craft verification environment using UVM methodology

  • Define test plans, tests and verification infrastructure for modules, clusters and system

  • Build efficient and reusable bus functional models, monitors, checkers and scoreboards

  • Implement functional coverage and own verification closure

  • Work with architects, designers, FPGA and post-silicon teams to ensure that your unit is robust

What we need to see:

You should be BTech/MTech with 4+ years of experience in verification closure of complex Unit, Sub-system or SOC level verification. If you have experience in at least a few of the following domains, we will have an excellent match for our needs:

  • CPU verification, Memory controller verification, Interconnect verification

  • High Speed IO verification (UFS/PCIE/XUSB)

  • 10G/1G Ethernet MAC and Switch

  • Bus protocols (AXI/APB)

  • System functions like Safety, Security, Virtualization and sensor processing

  • Experience in the latest verification methodologies like UVM/VMM

  • Exposure to industry standard verification tools for simulation and debug is a requirement

  • Exposure to Formal verification would be excellent

  • Good debugging and analytical skills.

  • Good interpersonal skills, ability to work as an excellent teammate with excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine real passion for technology, we want to hear from you.

#LI-Hybrid

Skills Required

  • BTech or MTech degree with 4+ years of verification experience
  • Experience with UVM and/or VMM methodologies and building UVM testbenches
  • System-level verification experience using C/C++
  • Experience verifying CPU, memory controller, interconnects or NoC
  • High-speed IO verification experience (PCIe, UFS, XUSB)
  • Experience with Ethernet MAC and switch verification (1G/10G)
  • Familiarity with bus protocols (AXI, APB)
  • Exposure to industry-standard simulation and debug tools
  • Exposure to formal verification
  • Post-silicon validation collaboration experience
  • Strong debugging, analytical, interpersonal and communication skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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