NVIDIA · 8 hours ago
Senior Power Analysis and Optimization Engineer, AI-LLM Systems
US, TX, Austin
Full-time
Onsite
Senior Level
$136K/yr - $218K/yr
5+ years expNVIDIA is a leader in accelerated computing, and they are seeking a Senior Power Architecture & Optimization Engineer to enhance energy efficiency through advanced analytics and AI. The role involves combining power architecture expertise with machine learning and data analytics to optimize energy consumption across chip designs.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Analyze full‑chip and unit‑level power using internal and industry‑standard RTL and gate‑level power tools, and translate data into concrete design and architectural improvements
Develop and productionize power‑aware models and flows, including ML/RL‑based techniques for anomaly detection, dynamic power management, and design‑space exploration
Design and train new LLMs that “learn the art” of power analysis from design data, power reports, bug histories, and best practices—so they can: Assist engineers in interpreting complex power data Propose likely root causes and candidate fixes Recommend architectural and micro‑architectural optimizations for power
Perform comparative power analysis across workloads, products, and design options to identify trends, anomalies, and optimization opportunities that aren’t obvious from first principles alone
Partner closely with Architects, Performance, Software, ASIC Design, and Physical Design teams to interpret power data, root‑cause power bugs, and drive fixes and design changes
Prototype and evaluate new architectural features in Verilog, with a strong focus on their power and energy implications
Automate and scale flows (Python/Perl/C++), and define new pipelines that fast‑track power anomaly detection and close the loop between power data, AI models, and design decisions
Apply AI to power optimization: build and deploy data‑driven models—using machine learning, reinforcement learning, data analytics, and custom LLMs—to recommend or automatically tune power‑efficient configurations and policies
Qualification
Required
MS (or equivalent experience) and 5yrs experience OR PHD + 3yr experience in EE/CE/CS or related fields
Strong understanding of energy consumption, power estimation, data movement, and low‑power design
Familiarity with Verilog and ASIC design principles, and hands‑on experience with tools such as PowerArtist, PrimePower/PrimePower RTL, RTL Architect, or similar
Solid coding and automation skills, preferably in Python, Perl, and C++
Experience or strong interest in machine learning, reinforcement learning, and data analytics, ideally applied to EDA, architecture, or system‑level optimization
Interest or experience in building and using LLMs or other foundation models as engineering copilots—especially for EDA/power/architecture workflows
Excellent communication and collaboration skills to work effectively with cross‑functional design and architecture teams
A genuine desire to bring data‑driven, AI‑assisted decision‑making into power architecture and help shape the energy profile of NVIDIA's future products
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
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
Digital Journal
2026-01-23
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