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NVIDIA 2027 New College Graduate: Hardware ASIC Engineering - China
AI in this role
New college graduate role focusing on hardware ASIC engineering, SoC design, and verification methodologies.
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.
How we rate this
NVIDIA 2027 New College Graduate: Hardware ASIC Engineering - China at NVIDIA rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where rtl design was part of your work. What did you do?
- Tell me about a project where vlsi design was part of your work. What did you do?
- Tell me about a project where digital design was part of your work. What did you do?
- Tell me about a project where computer architecture was part of your work. What did you do?
- Walk me through how you've used UVM in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rtl Design, Vlsi Design, Digital Design, Computer Architecture, and UVM. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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