Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
About The Role
We are seeking an accomplished and highly technical Director of Mechanical Engineering to lead and expand our growing mechanical engineering team. This role is pivotal in overseeing all mechanical aspects of our products, including thermal and liquid-cooling systems, mechanical enclosures, complex assemblies, and advanced packaging technologies. As a Director, you will not only manage the engineering team but also own and drive cross-functional projects that span multiple disciplines. The ideal candidate is a deeply technical leader with a strong track record of project ownership and successful delivery, equipped with a thorough understanding of advanced cooling solutions, DfX in complex mechanical designs, and multi-physics simulations. This role requires a forward-thinking professional who can steer innovative projects and contribute significantly to our product development strategy.
Responsibilities
- Lead and manage the mechanical engineering team, overseeing the development of all mechanical aspects of our products, including thermal and liquid-cooling solutions, mechanical enclosures, and complex assemblies.
- Own and drive cross-functional projects, coordinating with multiple disciplines to ensure successful project delivery and alignment with company goals.
- Develop and implement advanced cooling solutions, including liquid cooling, and provide expertise in thermal analysis to optimize product performance.
- Ensure that designs meet DfX (Design for Excellence) criteria, particularly in the development of complex mechanical assemblies and systems.
- Contribute to the advancement of electro-mechanical packaging technologies, providing technical leadership and direction.
- Oversee the application of multi-physics simulations and experimental verification methods for advanced pathfinding, ensuring the accuracy and reliability of mechanical designs.
- Mentor and guide the engineering team, fostering a culture of continuous improvement and technical excellence.
Skills and Qualifications
- Advanced degree in Mechanical Engineering, Material Science, or related disciplines.
- Approximately 10 years of experience in delivering complex mechanical systems, with a proven track record in leading technical teams.
- Strong understanding of advanced cooling solutions, including liquid cooling, with a solid background in thermal analysis.
- Expertise in DfX, particularly in the design of complex mechanical assemblies and systems.
- Experience with product development for Servers, Switches, Routers or Racks and Enclosure products for datacenter equipment.
- Experience with advanced electro-mechanical packaging technologies is a plus.
- Proficiency in multi-physics simulations and experimental verification methods for advanced pathfinding.
- Exceptional project ownership and delivery skills, with a demonstrated ability to manage and deliver complex, cross-functional projects.
- Excellent leadership, communication, and problem-solving skills, with the ability to work effectively in a fast-paced, dynamic environment.
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.
Read our blog: Five Reasons to Join Cerebras in 2025.
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.
Top Skills
Cerebras Systems Sunnyvale, California, USA Office
1237 E Arques Ave, Sunnyvale, CA, United States, 94085
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
