$116,000 – $218,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is seeking a power optimization engineer to analyze and reduce energy consumption in GPU and networking chips using RTL analysis and machine learning. This role suits recent graduates with electrical engineering backgrounds who want to apply AI techniques to hardware design challenges.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in Electrical Engineering, Computer Engineering, or related field
- Understanding of RTL power optimization fundamentals including switching activity and clock/enable efficiency
- Knowledge of backend flows such as logic synthesis and place-and-route
- Familiarity with low-power RTL techniques like clock gating and power gating
- Experience with industry power analysis tools
- Strong Python programming skills
- Coursework or hands-on experience in Machine Learning and AI
- Experience debugging RTL or gate-level power anomalies
- Strong written and verbal communication skills
Nice to have
- Exposure to AI-based power optimization solutions
- Previous experience with multiple power analysis tools