NVIDIA
Silicon Co-Design Engineer - New College Grad 2026
$116K–$218K
US, CA, Santa Clara · Entry level · Full-time · Posted Oct 22, 2026
- Education
- BS, MS, or PhD in EE, CE, Systems Engineering, or equivalent experience.
About the job
Characterize and validate pre-production NVIDIA silicon, investigate hardware failures, and optimize silicon and system designs for performance, power, quality, and energy efficiency.
What you'll do
- Develop silicon characterization and system-feature validation methodologies; analyze pre-production silicon and relate results to design.
- Investigate hardware failures through lab experiments and cross-team collaboration, and help refine future silicon designs.
- Analyze workloads and develop or commission tools to automate characterization, testing, data collection, and results analysis.
What they ask for
- Completing a BS, MS, or PhD in EE, CE, Systems Engineering, or equivalent experience.
- Problem-solving, debugging, analysis, and logical reasoning skills.
- Understanding of digital design, circuit analysis, algorithms, computer architecture, BIOS, drivers, and software applications.
- Strong programming skills in one or more of Python, JavaScript, C/C++.
Nice to have
- Familiarity with statistical methods, data-analysis tools, large datasets, and possibly deep learning techniques.
- Knowledge of signal integrity, timing and fault analysis, sampling, filters, or lab tools such as oscilloscopes and logic analyzers; Database and Web Development experience is also a plus.
Pay
116,000 USD - 189,750 USD base salary (Level 2); 136,000 USD - 218,500 USD base salary (Level 3)
Tools
Python, JavaScript, C/C++, BIOS, Adobe Suite
AI focus
Analyze DL/AI workloads for energy efficiency; familiarity with applying deep learning techniques to data analysis is a plus. NVIDIA also states that it uses AI tools in recruiting.
Model-written summary · the original posting is authoritative