We are currently seeking Verification Engineer with strong verification fundamentals to work in Switch Silicon group. You'll join a group of hardworking engineers to craft and implement the next generation innovative Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing best high-speed communication devices, delivering the highest throughput and lowest latency! The Networking Chip Design team in India is a new team which is growing at a fast pace.
What you'll be doing:
Verify Switch design's architecture and micro-architecture using advanced methodologies.
Build reference models, verify and simulate chip blocks/entities according to specifications.
Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.
You are encouraged to understand the design and implementation, define the verification scope, develop the verification infrastructure, test plans and tests and verify the correctness of the design at SOC level.
Use sophisticated verification methodologies like e-specman, SV-UVM etc.
What we need to see:
BS (or equivalent experience) / MS with 4+ years of experience in design verification.
Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.).
Perl/python scripting language experience desirable.
Ways to stand out from the crowd:
Prior experience of Ethernet or InfiniBand Switches, and/or smartNICs or DPUs, and/or high-speed interconnects.
Strong debugging, problem-solving and analytical skills.
Scripting knowledge (Python/Perl/shell).
Good social skills and ability & desire to work as an excellent teammate.
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
NVIDIA is committed to encouraging 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.
#LI-Hybrid
Skills Required
- Bachelor’s degree or equivalent experience, or a Master’s degree
- 4+ years of design verification experience
- Experience with Verilog, SystemVerilog, or equivalent
- Experience with Cadence or equivalent simulation tools
- Experience with debugging tools such as Indago and GDB
- Perl or Python scripting experience
- Experience with Ethernet or InfiniBand switches, smartNICs, DPUs, or high-speed interconnects
- Python, Perl, or shell scripting knowledge
- Strong debugging, problem-solving, and analytical skills
- Ability and desire to work effectively as part of a team
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.
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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.
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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.
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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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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.”
