Job Information
Intel GPU Power Architect in Folsom, California
Job Details:
Job Description:
The Role and Impact
As a GPU Power Architect, you will play a pivotal role in shaping the future of graphics and computing technology. At Intel, our GPUs power everything from ultralow power devices to high-performance systems for supercomputing and customized solutions. Your work will directly influence Intel's ability to deliver cutting-edge, scalable, and modular GPU designs optimized for performance, power efficiency, and versatility across a wide range of applications. This is your opportunity to collaborate with top-tier engineers, spearhead innovation, and drive advancements in GPU architecture that will impact millions of users worldwide.
Role and Responsibilities:
Design and develop energy-efficient hardware architectures for AI/ML workloads.
Build and validate GPU power models across representative use cases and workloads.
Architect hardware mechanisms to control ICCmax and mitigate di/dt transients.
Conduct detailed workload power analysis and drive optimizations to achieve performance-per-watt (perf/W) targets.
Develop scalable flows and methodologies for accurate and efficient power analysis.
Qualifications:
Required Qualifications:
Minimum:
M.S. or Ph.D. in Computer Engineering, Electrical Engineering, or an equivalent degree in a relevant STEM field.
2+ years of experience with a Master’s degree, or 1+ year of experience with a Ph.D., gained through a combination of industry roles, internships, and/or academic coursework or research, demonstrated across the following areas:
Computer architecture
Digital logic design using SystemVerilog
Development and validation of GPU power models
Electrical and thermal constraints in datacenter‑class GPUs
Python proficiency
Preferred:
Ph.D. degree
Demonstrated ability to innovate and drive strategic advancements in GPU architecture.
Experience collaborating across diverse engineering teams to achieve complex design goals.
Analytical mindset with a proven track record of evaluating tradeoffs between performance, power, and area constraints.
Strong communication skills with the ability to effectively present technical concepts and proposals.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
Business group:
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .
Annual Salary Range for jobs which could be performed in the US: $122,440.00-232,190.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.