mid software engineering Hardware Engineer ic 5+ yrs Master's · Posted May 19, 2026
Skills
Python

About this role

Nvidia is hiring a mid-level Hardware Engineer in the software engineering function based in Hsinchu, Taiwan. The posting calls out experience with Python and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role
Hardware Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Hsinchu, Taiwan
Experience
5+ years
Education
Master's degree
Posted
May 19, 2026
AI Summary
Mid-level hardware engineer optimizing GPU/CPU/SoC physical design for power, performance, and area (PPA) on advanced nodes. Develops place-and-route workflows, manages RTL-to-GDS flow, and collaborates with partners on EDA tools. Requires MS in EE/CE and 5+ years physical design experience with advanced technology nodes.

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Job description

from Nvidia careers

NVIDIA has been a pioneer in technology for over two decades. The invention of the GPU in 1999 ignited the PC gaming market, transformed modern computer graphics, and revolutionized parallel computing. Today, with the global surge in artificial intelligence research, NVIDIA GPUs provide the necessary scalable and massively parallel computation power. As a "learning machine," NVIDIA continually adapts to new, challenging opportunities that only we can tackle and that have a significant impact on the world. Our mission is to amplify human creativity and intelligence.

As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our exceptional team and see how you can make a lasting impact on the world!

What You'll Be Doing:

  • Create and enhance cutting-edge physical design methodologies for implementing GPUs, CPUs, and SoCs, focusing on optimizing Power, Performance, and Area (PPA) as well as improving the runtime efficiency of the physical design process on advanced technology nodes.

  • Develop workflows for advanced place and route techniques, floorplanning, and chip assembly, including power and clock distribution, power and area optimization, timing analysis, IR and EM analysis.

  • Work together with internal and external partners to enhance tools and methodologies, ensuring the delivery of top-tier Power, Performance, and Area (PPA) solutions across all our product lines

    This is an excerpt. Read the full job description on Nvidia careers →
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