Verification Engineer

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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are currently seeking passionate, highly motivated and creative Verification Engineer with strong verification fundamentals to work in Nvidia’s ASIC Verification team. NVIDIA is solving challenging problems with its vast arsenal of CPUs, GPUs, DPUs and SW, in areas such as Artificial Intelligence, High performance computing, autonomous driving, Gaming, Medical imaging and much more!

 

As a Verification engineer at Nvidia, you will be expected to plan and implement IP/Cluster/SOC functional verification of designs that constitute our industry's leading SOCs. In this position, you will be responsible for verification of the design, architecture and micro-architecture with opportunities for pre-silicon, emulation, and post-silicon activities. You will get firsthand exposure to high performance CPU subsystem, coherent fabric and many other leading technologies deployed in our chips. You will be working with architects, designers, pre and post silicon verification teams to accomplish your tasks.

                              

What you'll be doing:

  • Be responsible for verifying the design, architecture and micro-architecture of IP/Cluster/SOC using advanced verification methodologies

  • Go through architecture/design specification and define the verification scope, come up with test plans, tests and verification infrastructure to verify complex designs

  • Work with HW architects and designers to make the right verification strategy choices

  • Use advanced verification methodologies like SV/UVM

                              

What we need to see:

  • B.Tech/M.Tech with 3+ years of experience in design verification

  • Experience in verification of complex IPs, sub-systems, SOCs

  • Expertise in HVL like System Verilog and verification methodologies like UVM

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

                              

Ways to stand out from the crowd:

  • Good debugging and analytical skills

  • Scripting knowledge (Python/Perl/shell)

  • Good communication skills and ability & desire to work as a team player

                              

With competitive salaries and a generous benefits package, we are 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 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.

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.

NVIDIA Insights

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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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