PCB Layout Engineer - Graduate (Start ASAP)

We are now looking for a PCB Design Engineer – NCG

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, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. And we have a lot of training and research plans to guide the successful candidates to be experts of PCB design and related areas. Join us at the forefront of technological advancement.

What you’ll be doing

• Working closely with product design engineers, you'll perform PCB layout of high-speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI).
• The focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/power integrity.
• You will be responsible for the design releases required generation of artwork files, ODB++, test reports, and electronic PCB documentation.
• Your designs will need to follow ID requests, SI constraints, EMI/RFI control and FCC, UL, and European regulations, IPC specifications, and NRC regulations.

What we need to see

• Bachelor's or master’s degree in Electronics Engineering or equivalent.
• Strong knowledge of circuit theory.
• Good knowledge of the DC-DC power design.
• Good knowledge of the SI/PI theory.
• Can-do attitude, good team worker.
• Good communication skills in English, Level 4 or 6 English.

Ways to stand out from the crowd 

• It is a plus if you have experience in high-speed PCB design with the Cadence Allegro tool.
• Familiarity with SI/PI simulation tools is preferred, such as Sigrity, ADS, HFSS, etc.
• Deep understanding of technology and passion for what you do.
• Strong collaborative and interpersonal skills, specifically a shown ability to effectively guide and influence within a dynamic environment.