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Skills: Power Design, Power Modeling, Power Architecture, ASIC Design, SoC Design
Associate Director, Clinical Development - Neurology
Carlsbad, California, United States · Remote OK
$169k–$251k/yr
Senior$2.5B raised
Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for peo…
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San Francisco, California, United States · Remote OK
$204k–$276k/yr
Senior+$4.5B raised
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Mountain View, California, United States · On-site
$188k–$275k/yr
Senior$26M raised
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Research Engineer, AGI Safety and Alignment, DeepMind
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$192k–$279k/yr
Full-time
bachelor degree, postgraduate degree
Bonus target, Equity, Benefits
Posted 17d ago
~40 hrs/week
Responsibilities
The role involves driving power efficiency for TPU designs through robust power modeling and the implementation of architectural optimization techniques. The engineer will lead a technical team to deliver complex projects and define best practices for low-power RTL designs.
Requirements
Candidates must have a bachelor's degree in an engineering or computer science field and at least 10 years of experience in design or architecture. Expertise in power modeling, reduction methodologies, and chip-wide power management is required.
Full job description
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
10 years of experience in design or architecture (e.g., logic design, power architecture, performance, or SoC design).
Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience defining and implementing chip-wide power management architectures and designs.
Experience in power modeling, measurement, and correlation across the pre- and post-silicon phases.
Experience with technical leadership and project ownership with a track record of successful delivery.
Understanding of modern power and thermal management techniques at both the silicon and system levels (including Dynamic Voltage and Frequency Scaling (DVFS), Turboing, Thermal Management, and System-Level Tradeoffs).
Ability to solve open-ended power and performance problems under ambiguity.
About the job:
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As part of the TPU power design team, you will play a pivotal part in the improving power efficiency of our TPUs. You will drive power efficiency for our TPU designs, starting from building robust power models to proposing novel power optimization techniques. An ideal candidate would possess a deep background in modeling and optimizing chip power, as well as have an understanding of system level power considerations and tradeoffs.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How much do Science & Research jobs in California pay?
Based on 11733 listings with disclosed salaries, most science & research jobs in California pay between $103k–$250k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in California right now?
There are currently 18,578 open science & research positions in California listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in California?
Companies currently hiring include Applied Materials, Northrop Grumman, Apple, Google, Kaiser Permanente Oakland Medical Center, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in California?
Yes — 3931 of the 18578 open science & research positions offer remote or hybrid work (1009 remote, 2922 hybrid).
How do I apply for Science & Research jobs in California?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.