RTL Power Optimization Engineer – New College Grad 2026

• Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.
• Use artificial intelligence to devliver RTL and/or Architecture Power optimization solutions.
• Develop and share best practices for performing pre-silicon power analysis.
• Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.
• Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.
• Select and run a wide variety of workloads for power analysis.
• Prototype a new architectural feature in Verilog and analyze power.
• Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, or related fields with coursework or experience in AI, Digital Design and VLSI concepts (or equivalent experience).
• Understanding of RTL power optimization fundamentals, including switching activity, clock/enable efficiency, and common low‑power design patterns at the RTL level.
• Knowledge of backend flows such as logic synthesis and place‑and‑route, and how RTL decisions impact post‑layout power and timing.
• Familiarity with RTL implementation of low‑power techniques (e.g., clock gating, operand isolation, power gating strategies, multi‑VT usage) and their trade‑offs.
• Exposure to industry power analysis tools such as PowerArtist, PrimeTime PX, or equivalent, including running power analysis and interpreting reports to guide design changes.
• Strong Python programming skills for building automation scripts, data pipelines, and AI/ML‑driven analysis flows for RTL power optimization.
• Coursework and/or hands‑on experience in Machine Learning and Artificial Intelligence, with ability to apply ML techniques to EDA and silicon power problems.
• Previous experience debugging RTL or gate‑level power anomalies by tracing logic cones, examining activity/toggle data, and identifying root‑cause structures or scenarios.
• Strong written and verbal communication skills to document methodologies, present power findings, and explain AI/ML‑based insights to both design and tools teams.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until July 25, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

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