NVIDIA · 12 hours ago
AI ML Engineer, RTL Power Optimization – New College Grad 2026
Santa Clara, CA
Full-time
Onsite
New Grad, Entry Level
$116K/yr - $190K/yrNVIDIA is a leading technology company focusing on AI and computing innovations. They are seeking an AI ML Engineer for RTL Power Optimization to collaborate with various engineering teams to improve power efficiency for GPUs and networking chips through advanced power analysis and optimization techniques.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
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 deliver 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
Qualification
Required
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
H1B Sponsorship
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2022 (835)
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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