Power Engineering Architect

Posted 11 Days Ago
Be an Early Applicant
Sunnyvale, CA, USA
Hybrid
230K-275K Annually
Expert/Leader
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Lead power delivery architecture and product power strategy for high-performance compute, AI accelerators, and advanced ASIC platforms. Responsibilities include system architecture, vertical wafer power delivery, thermal and cooling optimization, power specifications, vendor selection, and full lifecycle oversight from concept through production. The role requires expertise in high-current, low-voltage systems, multiphase power conversion, thermal modeling, semiconductor power technologies, advanced packaging, chiplets, and 2.5D/3D integration.
Summary Generated by Built In

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:

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

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

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

  4. Enjoy job stability with startup vitality.

  5. 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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Skills Required

  • MSEE or MSCE degree, or equivalent industry experience
  • PhD
  • 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
  • Experience with 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
  • Experience working on server hardware, AI accelerators, hardware accelerators, datacenters, AI hardware, or enterprise products
  • Expertise in DC-DC power conversion, including control loops, power management, magnetics, and filter design
  • Background in semiconductor technologies, including PMICs and integrated power modules
  • Technical knowledge of magnetic components, particularly custom inductor design
  • Experience developing advanced power modules with optimized thermal and magnetic characteristics
  • Experience with package PDN design, power vias, bumps, interposers, substrates, and ASIC power delivery structures
  • Expertise in power architecture for chiplet-based designs, IVRs, advanced packages, or 2.5D/3D integration
  • Excellent interpersonal skills and collaborative mindset
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The Company
774 Employees
Year Founded: 2015

What We Do

Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.

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