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 currently looking for a Methodology/CAD engineer to join our team in our Circuit Solutions Group! In this role you'll be building solutions to boost productivity and efficiency of our custom circuit designs. You will be engaging with multi-functional teams to ensure the robustness of the designs that will have direct impact across all product lines.
What You'll Be Doing:
Automating hardware testing workflows using Python and Perl
Using AI to improve user workflows involving data collection, querying, and analysis
Collaborating with various teams to automate data parsing and analysis through web applications and compute farms
Designing robust user interfaces to simplify sophisticated hardware tasks
Building data visualization interfaces for processed datasets
Optimizing parallel processing large datasets using compute farms and AI agents
Assisting with building and debugging hardware testing scripts in Python and JavaScript
What We Need To See:
A BS, MS, or PhD in Computer Science/Engineering (or equivalent experience)
3+ years of relevant work experience is required
Experience with Python, JavaScript, and Unix/Bash scripting
Familiarity with REST APIs, HTTP web servers, and database systems
Background with containerization (Docker…) and cluster management (Kubernetes…)
Familiar with a least one front end framework such as React JS, Vue JS or Angular
Background with handling large datasets and parallel processing in Python
Self motivated, and able to switch between multiple projects
Ways To Stand Out From The Crowd:
Previous work in VLSI, ASIC, or EDA is a definite plus
Enjoy working with multiple levels and teams across organizations
Effective interpersonal and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team
NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you! 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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering 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.Skills Required
- 3+ years of relevant work experience
- Experience with Python, JavaScript, and Unix/Bash scripting
- Familiarity with REST APIs, HTTP web servers, and database systems
- Background with containerization (Docker) and cluster management (Kubernetes)
- Familiar with at least one front-end framework such as React JS, Vue JS or Angular
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.”
