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NVIDIA

Designs the chips and software that power AI

PCB Design Engineer New Grad

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • The candidate must be pursuing or have recently completed a degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related field.
  • The candidate must have a strong foundation in circuit theory, electronic systems, and hardware design fundamentals.
  • The candidate must understand power delivery, voltage regulation, and DC-DC converter fundamentals.
  • The candidate must know signal integrity, power integrity, and high-speed digital design concepts.
  • The candidate must have analytical thinking and problem-solving skills.
  • The candidate must have communication skills and be able to collaborate in a multidisciplinary environment.
  • The candidate must have an interest in technology, continuous learning, and solving challenging engineering problems.

Responsibilities

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

Desired Qualifications

  • 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.
  • Curiosity, technical leadership, and interest in building next-generation AI and accelerated computing systems.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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