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!
As part of the CAD team our engineers develop and support tools for all of NVIDIA's semiconductor products. In addition, they also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. Below are some of the some of the teams' activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today.
What you will be doing:
Be responsible for architecting highly automated and customizable design flows using software engineering with modular design and object oriented techniques.
Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs.
Support development of tools using C++/Python/TCL.
Work cross functionally with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks.
What we need to see:
2+ years of relevant work experience.
Smart, diligent and motivated to work in our CAD group.
BE or BTech or MTech in Computer Science, or Electronics Engineering, or Electrical Engineering, or equivalent experience.
Knowledge or experience with DFT, DFP is a plus.
Familiar with Verilog, VLSI and ASIC design principles, including knowledge of logic cells.
Software engineering: software design, algorithms, and QA.
Strong C++ programming experience.
Solid programming and scripting skills in Python or TCL desired.
Knowledge of GenAI, LLM, AI Code Generation is a plus.
Having strong interpersonal skills will serve you well in this role.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Skills Required
- 2+ years of relevant work experience
- BE/BTech or MTech in Computer Science, Electronics Engineering, or Electrical Engineering (or equivalent)
- Strong C++ programming experience
- Familiarity with Verilog, VLSI and ASIC design principles
- Software engineering: software design, algorithms, and QA
- Solid programming and scripting skills in Python or TCL
- Knowledge or experience with DFT and DFP
- Knowledge of GenAI, LLM, AI Code Generation
- Strong interpersonal and collaboration 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.
NVIDIA Insights
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.”
