NVIDIA
RTL Power Optimization Engineer – New College Grad 2026
$116K–$218K
US, CA, Santa Clara · Full-time · Posted Jul 21, 2026
- Education
- Pursuing or recently completed an MS or PhD in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).
About the job
Optimizes power in NVIDIA GPU and networking chips by analyzing RTL and gate-level designs, applying AI-based solutions, and collaborating with design teams to identify and fix power issues.
What you'll do
- Run pre-silicon power analysis, compare results, and investigate trends and anomalies.
- Apply AI to RTL or architectural power optimization; prototype features in Verilog and analyze their power impact.
- Help architects and RTL designers interpret power data, identify power bugs, and implement fixes.
What they ask for
- Pursuing or recently completed an MS or PhD in Electrical Engineering, Computer Engineering, or a related field, with coursework or experience in AI, Digital Design, and VLSI concepts (or equivalent experience).
- Understanding of RTL power optimization, backend flows, and RTL implementation of low-power techniques and their trade-offs.
- Strong Python programming skills and coursework or hands-on experience in Machine Learning and Artificial Intelligence, including applying ML to EDA and silicon power problems.
- Experience debugging RTL or gate-level power anomalies; strong written and verbal communication skills.
Nice to have
- Exposure to industry power analysis tools such as PowerArtist, PrimeTime PX, or equivalent.
Pay
116,000 USD - 189,750 USD (base salary); 136,000 USD - 218,500 USD (base salary)
Tools
Python, PowerArtist, PrimeTime PX, Verilog
AI focus
Use AI/ML to develop RTL or architectural power optimization solutions and analysis flows for EDA and silicon power problems.
Model-written summary · the original posting is authoritative