Tallo logoTallo logo

GPU Power Architect

Job

Intel

Folsom, CA (In Person)

$177,315 Salary, Full-Time

Posted 3 weeks ago (Updated 1 week ago) • Actively hiring

Expires 5/31/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
77
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

GPU Power Architect Intel - 4.1 Folsom, CA Job Details Full-time $122,440 - $232,190 a year 17 hours ago Benefits Health insurance Qualifications GPU architecture Engineering Electrical engineering Energy efficiency & conservation Doctor of Philosophy Master of Science Doctoral degree in computer engineering Computer Engineering Scalability Master's degree in electrical engineering 1 year SystemVerilog Master's degree in computer engineering Senior level Electrical Engineering Doctoral degree in electrical engineering Communication skills Python Engineering validation
Full Job Description 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 . 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.
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.

Similar remote jobs

Similar jobs in Folsom, CA

Similar jobs in California