NVIDIA 2027 New College Graduate: Hardware ASIC Engineering - China

Overview

• By submitting your resume, you’re expressing interest in one of our 2027 Hardware ASIC Engineer New College Grad roles.
• We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our new college graduate opportunities.
• 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 — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
• We offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams.
• We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
• Potential NCG opportunities in this field include: IP and SoC Level Design and Verification (including multimedia IP) Custom SoC Design and Verification Networking Chip Design and Verification Architectural Power and Energy-Efficiency Modeling DFT Formal Verification Post-Silicon Validation What we need to see: Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field Course or internship experience related to the following areas could be required: Digital Systems, Digital Design, VLSI Design, RTL Design, Chip Blueprint, Power and Performance Optimization, Testbench Creation Computer Architecture, Computer Arithmetic, Object-Oriented Programming, CMOS Transistors, Circuits, Infrastructure Development Architectural Tradeoff Analysis, Power and Noise Analysis, Silicon Instrumentation and Measurement CAD and Physical Design Methodologies (Flow and Tools Development), Chop Floorplan, Power/Clock Distribution, Packaging, P&R and Timing Closure Performance, Verification, and Emulation Methodology Familiarity with hardware verification methodologies, particularly UVM (Universal Verification Methodology), and a working knowledge of formal verification tools.
• Fundamental knowledge of hardware and board-level design, such as power integrity (PI), signal integrity (SI), and PCB-level design.