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Power Engineering Architect

Cerebras SystemsSunnyvale, CA

$220,000 - $250,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$220,000-$250,000/year
Benefits
Career Development
Health & Wellness Programs

Job Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Cerebras is seeking an exceptional Power Architect to lead our product power roadmap and technology development. This role is focusing on defining and driving power delivery architecture and strategy for high-performance compute, AI/ML accelerators and advanced ASIC platforms.

Responsibilities

  • Lead system architecture exploration with a focus on power delivery and thermal management.

  • Drive innovation in vertical power delivery to the wafer, enabling ultra-high current density solutions.

  • Collaborate with internal product, ASIC, and systems teams to define and refine detailed power specifications.

  • Architect power delivery systems optimized for both electrical performance and cooling efficiency.

  • Evaluate and select optimal architectures and strategic partners/vendors for new technology development.

  • Oversee the full lifecycle of power delivery solutions-from concept through production deployment.

  • Collaborate with package, silicon, PCB, and mechanical to optimize power delivery

Minimum Qualifications

  • MSEE or MSCE required; PhD preferred or equivalent industry experience.

  • 15+ years of hands-on experience in power delivery systems.

  • Strong foundation in energy-efficient system design and associated trade-offs.

  • Practical experience in thermal modeling and cooling solution implementation.

  • High-current, low-voltage power delivery for advanced silicon

  • Experience with multiphase buck regulators, digital power controllers, DrMOS, smart power stages, and integrated voltage regulators

  • Excellent interpersonal skills and a collaborative mindset.

  • Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc.

Preferred Qualifications

  • Demonstrated expertise in DC-DC power conversion, including control loops, power management, magnetics, and filter design.

  • Solid background in semiconductor technologies, including PMICs and integrated power modules.

  • Deep technical knowledge of magnetic components, particularly in custom inductor design.

  • Experience in developing advanced power modules with optimized thermal and magnetic characteristics.

  • Experience on package PDN design, power vias, bumps, interposers, substrates, and ASIC power delivery structure

  • Deep expertise on power architecture for chiplet-based designs, IVRs, advanced packages, or 2.5D/3D integration

Location: Sunnyvale, CA

The base salary range for this position is $220,000 to $250,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

  • Build a breakthrough AI platform beyond the constraints of the GPU.

  • Publish and open source their cutting-edge AI research.

  • Work on one of the fastest AI supercomputers in the world.

  • Enjoy job stability with startup vitality.

  • Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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FAQs About Power Engineering Architect Jobs at Cerebras Systems

What is the work location for this position at Cerebras Systems?
This job at Cerebras Systems is located in Sunnyvale, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Cerebras Systems?
Candidates can expect a pay range of $220,000 and $250,000 per year.
What employment applies to this position at Cerebras Systems?
Cerebras Systems lists this role as a Full-time position.
What experience level is required for this role at Cerebras Systems?
Cerebras Systems is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Cerebras Systems for this role?
Cerebras Systems offers following benefits: Career Development and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Cerebras Systems?
You can apply for this role at Cerebras Systems either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.