Hardware Engineer, Silicon Power & Productization
NVIDIA · Posted Sep 29
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization, covering power and performance modelling, tuning of power and thermal controllers, and system-level optimization for NVIDIA silicon product families across AI, datacenter, gaming, professional, embedded, and automotive platforms. This role drives silicon power productization from pre-silicon planning through bring-up and production, characterizing and tuning controller behavior, building power and performance models, and using AI/ML and data-driven methods to accelerate debug across silicon, board, power delivery, firmware, and software.
What you will do
- Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization.
- Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions.
- Characterize and tune controller behavior across workloads, operating conditions, silicon variation, and product power and thermal limits.
- Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance.
- Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends; and accelerate debug across silicon, board, power delivery, firmware, and software.
Skills used in this role
What the employer is looking for
- Bachelors/ Masters in Electronics Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 3+ years of proven experience in silicon bring-up, characterization, validation, productization, or a related hardware field.
- Understanding of silicon power and performance, including process technology, voltage, frequency, workloads, and operating conditions.
- Experience with system-level hardware debugging and interactions across silicon, board hardware, firmware & software.
- Data analysis and problem-solving skills—you can turn measurements into hypotheses and design experiments to test them.
Preferred qualifications
- Experience with Windows/Linux systems, low-power states, power controllers, silicon power, device physics, or power delivery.
- Contributions that improved silicon bring-up, characterization coverage, pre/post-silicon correlation, debug efficiency, or productization methodology.
- Experience with power modelling, silicon binning, productization.
- Experience applying AI/ML to engineering workflows, such as debug assistants, characterization analytics, or automated anomaly and trend detection.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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