Custom SOC ASIC Engineer - New College Grad 2026 at NVIDIA
Shanghai, Shanghai, China -
Full Time


Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C/C++, Scripting, Perl, Python, Shell, Digital Circuit, Verilog, Verification, VCS, System Verilog, UVM, ASIC Design Flow, Synthesis, AMBA Protocols, AXI, ACE, CHI

Industry

Herstellung von Computerhardware

Description
Custom silicon keeps on arising these years. Unlike off-the-shelf silicon produced for general purposes, custom silicon is designed specifically for a particular application or customer. These custom chips are tailored to meet unique performance, power, and feature requirements, allowing for deeper customization of elements like I/O capabilities, memory interfaces, and workload-specific accelerators. NVIDIA custom SOC design team aims to create the best solutions for customers based on NVIDIA Industry-leading technologies. We are looking to grow our team with the smartest people in the world, join us if you want to learn about the world’s leading custom SOC solutions. What you’ll be doing: Functional and IO IP development Different IPs integration and release for custom silicon Build SOC or sub-system, signoff function/performance and QoR Methodology improvement for high-efficiency custom silicon development What we need to see: Master candidate in EE/CS or related field Basic C/C++ knowledge is a must Scripting knowledge (Perl/Python/Shell) Basic digital circuit/verilog knowledge is a must Basic verification knowledge is a must Ways to stand out from the crowd: Quick learner, willing to take challenges in a new field Fluent English and good communication skills Familiar with VCS, system Verilog and UVM Background with ASIC design flow, like synthesis Familiar with AMBA protocols such as AXI, ACE, CHI, ATB, etc. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
Responsibilities
You will be involved in functional and IO IP development, integration of different IPs for custom silicon, and building SOC or sub-systems. Additionally, you will focus on methodology improvement for high-efficiency custom silicon development.
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