Senior Verification Engineer - HSIO Cluster and SOC

Reposted 17 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing verification components and APIs for automotive chip subsystems, driving verification processes, and collaborating with cross-functional teams.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking enthusiastic, driven, and imaginative individuals to join our automotive verification group. As the owner of HSIO IP's cluster and SOCV level verification, you will contribute to projects crafting the future of automotive chips and systems. You will gain direct experience of chip working with high-performance CPU and memory sub-systems, NOC-based interconnect fabric, high-speed I/Os, and various advanced technologies used in our Tegra chips.
 

What you'll be doing:

You will develop verification components and API's for cluster and system level test benches. These will verify complex rapid data transfer IO IPs and sub-systems such as USB, UFS, MPHY, Ethernet, and MACSEC.

During the course of a project, you will drive the following aspects of verification for your unit:

  • Architect the testbenches and craft verification environment using SV, C/C++ methodology

  • Define test plans, tests and verification infrastructure for clusters and systems

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

  • Implement functional coverage and own SOC level verification closure

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

What we need to see:
  • BTech or MTech in ECE, EE, CSE, or an equivalent degree is required. Candidates should have over 5 years of experience in verification closure of complex units, sub-systems, or SOC level verification.

  • Proven experience in High Speed IO verification (UFS/PCIE/XUSB), knowledge of 10G/1G Ethernet MAC and Switch

  • Experience in the latest verification methodologies like SV and UVM

  • Good debugging and analytical skills with exposure to industry-standard verification tools for simulation and debug

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

Ways to stand out from the crowd:
  • Exposure on using AI (like Claude or Cursor) extensively for code development would be a big plus

  • A mentality towards constant improvement and looking to build a multiplier effect through your work and automation

  • Exposure to Formal verification would be excellent

We have some of the most experienced and dedicated people in the world working at NVIDIA. If you're creative and independent, with a genuine passion for adopting newest technology, we want to hear from you. Join us and be part of something outstanding!

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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Skills Required

  • BTech or MTech in ECE, EE, CSE, or equivalent
  • Over 5 years of experience in verification closure of complex units
  • Proven experience in High Speed IO verification (UFS/PCIE/XUSB)
  • Experience in verification methodologies like SV and UVM
  • Good debugging and analytical skills with verification tools
  • Good interpersonal skills and communication for teamwork

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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