We are now looking for a SOC Verification Engineers! NVIDIA is seeking outstanding SOC Verification Engineers to verify world’s leading Smart Network Interface Cards (Smart-NICs) and Data Processing Units (DPUs). NVIDIA’s Networking Chip Design group works on Smart-NICs and DPUs which help accelerate network performance while reducing the CPU overhead of Internet Protocol (IP) packet transport, freeing more processor cycles to run applications. These networking processors also embed innovative hardware engines that offload and accelerate security with in-line encryption/decryption.With unmatched RDMA over Converged Ethernet (RoCE) performance, NVIDIA Smart-NICs and DPUs deliver efficient, high-performance remote direct-memory access (RDMA) services to bandwidth- and latency-sensitive applications!
The Networking Chip Design in India is a new team which is growing at a fast pace! We are currently seeking Verification Engineers with strong verification fundamentals to work in NVIDIA Networking Group's SOC team. As a SOC Verification Engineer at NVIDIA, be responsible for verification of the design, architecture and micro-architecture with opportunities for pre-silicon, emulation, and post-silicon activities. You will be working closely with architects, designers, emulation team, Software teams, pre and post silicon verification teams to accomplish your tasks.
What you’ll be doing:
- Be responsible for integrating all the pieces for a given defined project milestone and deliver the model to relevant teams for further verification at cluster/sub-system/SOC/emulation levels.
- Come up with verification infrastructure and automated flows to ease the process of integrating multiple IPs
- Use advanced verification methodologies like e-specman, SV-UVM etc. and have good grasp of scripting languages like python,perl etc.
- Partnering closely with our design team to understand our architecture and the collaborate with Quality Assurance engineers to deliver excellent test coverage and improve the Hardware quality.
- Coordinate with internal and external teams across time zones.
What we need to see:
- BS or MS in EEE or ECE with 4+ years of experience in design verification
- Good understanding of Logic Design and Architecture.
- Strong coding skills in SV, scripting languages (Perl/python) and C++.
- Ability to collaborate and work with multiple groups
- Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.).
- Exposure to Cluster/Sub-system/Fullchip/SOClevel verification environments
Ways to stand out from the crowd:
- Prior experience of SmartNICs (or DPU) and/or high-speed interconnects.
- Strong debugging, problem-solving and analytical skills.
- Scripting knowledge (Python/Perl/shell).
- Good interpersonal 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. 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.
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Skills Required
- Bachelor’s or master’s degree in Electrical Engineering or Electronics and Communication Engineering
- 4+ years of design verification experience
- Strong understanding of logic design and architecture
- Strong coding skills in SystemVerilog
- Strong coding skills in Perl and Python or other scripting languages
- Strong coding skills in C++
- Ability to collaborate with multiple groups
- Exposure to Verilog, SystemVerilog, or equivalent design and verification tools
- Exposure to Cadence or equivalent simulation tools
- Exposure to debug tools such as Indago and GDB
- Exposure to cluster, subsystem, full-chip, or SOC-level verification environments
- Prior experience with SmartNICs, DPUs, or high-speed interconnects
- Strong debugging, problem-solving, and analytical skills
- Shell scripting knowledge
- Strong interpersonal and teamwork 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.
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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.”
