PCB Design Engineer - New College Grad 2027

Posted Yesterday
Be an Early Applicant
Shenzhen, Guangdong, CHN
In-Office
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design manufacturable PCBs for NVIDIA GPUs, AI servers, and networking platforms. Translate system architecture into PCB layouts balancing signal/power integrity, thermal, mechanical, and cost constraints. Collaborate across disciplines and use SI/PI tools to enable high-bandwidth, high-power systems.
Summary Generated by Built In

We are now looking for multiple PCB Design Engineers – NCG

NVIDIA is at the center of the AI revolution, building the computing platforms that power the world's most advanced AI systems. As part of our PCB Physical Design team, you'll collaborate with leading engineers to develop the hardware foundation behind next-generation GPUs, AI servers, and networking platforms.

Through mentorship, training, and hands-on experience, you'll grow into a system-level hardware expert while working on technologies that are shaping the future of computing.

Join us and help build the physical foundation of the AI era.

What you’ll be doing:

  • Design the physical foundation of NVIDIA's AI infrastructure, enabling the world's most advanced GPU, networking, and accelerated computing platforms.
  • Translate system architecture into manufacturable hardware through advanced PCB and interconnect design, balancing electrical performance, power delivery, thermal requirements, mechanical constraints, and product cost.
  • Work on some of the industry's most challenging hardware designs involving multi-thousand-pin processors, high-bandwidth memory, multi-hundred-gigabit communication channels, and multi-kilowatt power systems.
  • Collaborate with world-class engineers across silicon, system architecture, packaging, signal integrity, power integrity, thermal, and manufacturing disciplines to solve complex engineering challenges.
  • Explore and deploy next-generation hardware technologies that shape future AI and data center products.
  • Create innovative physical design solutions that improve system performance, accelerate product development, and enable scalable manufacturing worldwide.

What we need to see:

  • Pursuing or recently degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related field.
  • Strong foundation in circuit theory, electronic systems, and hardware design fundamentals.
  • Understanding of power delivery, voltage regulation, and DC-DC converter fundamentals.
  • Knowledge of signal integrity, power integrity, and high-speed digital design concepts.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication skills and the ability to collaborate effectively in a multidisciplinary environment.
  • Passion for technology, continuous learning, and solving challenging engineering problems.

Ways to stand out from the crowd

  • Experience with PCB, hardware, or system design projects through coursework, internships, research, or personal projects.
  • Familiarity with PCB design tools such as Cadence Allegro or similar ECAD platforms.
  • Experience with SI/PI simulation or analysis tools such as Sigrity, ADS, HFSS, or equivalent.
  • Knowledge of PCB manufacturing, advanced packaging, or Design-for-X (DFX) technologies.
  • Demonstrated curiosity, technical leadership, and a passion for building next-generation AI and accelerated computing systems.

Skills Required

  • Pursuing or recently completed degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or related field.
  • Strong foundation in circuit theory, electronic systems, and hardware design fundamentals.
  • Understanding of power delivery, voltage regulation, and DC-DC converter fundamentals.
  • Knowledge of signal integrity, power integrity, and high-speed digital design concepts.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication skills and ability to collaborate in multidisciplinary teams.
  • Passion for technology, continuous learning, and solving challenging engineering problems.
  • Experience with PCB, hardware, or system design projects (coursework, internships, research, or personal projects).
  • Familiarity with PCB design tools such as Cadence Allegro or similar ECAD platforms.
  • Experience with SI/PI simulation or analysis tools such as Sigrity, ADS, HFSS, or equivalent.
  • Knowledge of PCB manufacturing, advanced packaging, or Design-for-X (DFX) technologies.
  • Demonstrated curiosity, technical leadership, and passion for building next-generation AI and accelerated computing systems.

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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