NVIDIA is at the forefront of the AI revolution, building the computing platforms that power the world’s most advanced AI systems. From GPUs and AI servers to high-speed networking infrastructure, we continue to push the boundaries of computing technology. As part of the PCB design team, you will work with industry-leading engineers and contribute to the automation implementation of hardware design for next-generation AI accelerated computing platforms.
Through structured training, mentorship, and hands-on project experience, you will grow into a hardware EDA and AI design expert with a system-level perspective and help shape the future of computing architecture.
What You’ll Be Doing:
Contribute to the implementation and optimization of automation tools and processes for the hardware design for NVIDIA’s latest products.
Participate in research and practical applications of AI in PCB design engineering.
Support EDA research and development for the latest PCB design and manufacturing technologies.
Communicate and collaborate closely with global EDA teams and hardware engineering teams on a daily basis.
Work closely with PCB design, system circuit design, mechanical design, component library design, signal integrity design, system validation, and manufacturing teams to solve complex engineering automation challenges.
Continuously optimize design methodologies and engineering workflows to improve product performance and design efficiency.
What We Need to See:
Bachelor’s degree or above in Automation, Electrical and Electronic Engineering, Computer Engineering, or a related engineering field.
Familiarity with electronic circuits and PCB design.
Familiarity with Cadence or similar EDA design software.
Familiarity with Python or EDA scripting development experience
Familiarity with modern software tool flows such as GitLab and CI/CD.
Basic understanding of AI Agent practices and related concepts.
Proficient daily English communication skills.
Strong logical analysis and engineering problem-solving abilities.
Honesty, resilience, and strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Self-motivated, passionate about technological innovation, and willing to continuously learn and explore new technologies.
Ways to Stand Out from the Crowd:
Experience with PCB, electronic hardware, or system design projects through coursework, competitions, research, internships, or personal projects.
Excellent English communication skills.
Hands-on engineering experience with AI Agents.
Understanding of PCB manufacturing processes and design methodologies such as DFF, DFA, and DFT.
Understanding of CUDA programming and the latest NVIDIA GPU architecture features, such as dedicated features of the Hopper and Blackwell architectures.
Skills Required
- Bachelor's degree or above in Automation, Electrical and Electronic Engineering, Computer Engineering, or related engineering field
- Familiarity with electronic circuits and PCB design
- Familiarity with Cadence or similar EDA design software
- Familiarity with Python or EDA scripting development experience
- Familiarity with modern software tool flows such as GitLab and CI/CD
- Basic understanding of AI Agent practices and related concepts
- Proficient daily English communication skills
- Strong logical analysis and engineering problem-solving abilities
- Honesty, resilience, and strong communication and collaboration skills
- Self-motivated, passionate about technological innovation, and willing to continuously learn
- Experience with PCB, electronic hardware, or system design projects (coursework, competitions, research, internships, or personal projects)
- Excellent English communication skills
- Hands-on engineering experience with AI Agents
- Understanding of PCB manufacturing processes and design methodologies such as DFF, DFA, and DFT
- Understanding of CUDA programming and NVIDIA GPU architecture features (Hopper, Blackwell)
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.”
