Principal Product Manager for Hardware

Sunnyvale, CA

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 empowers machine learning users to effortlessly prototype and experiment with large-scale ML applications, without the hassle of managing multiple GPUs or TPUs.
 
Cerebras' current customers include national labs, global corporations across multiple industries, 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. 
The Role

As Principal Product Manager for Hardware at Cerebras, you will lead product strategy, requirements research and definition for our high-performance AI compute systems. You will work day-to-day with hardware, systems, and ASIC engineering teams to help prioritize and stage product development, and with customers operating leadership-class computing facilities for AI and HPC compute. You will work in partnership with a world-class team that has decades of complementary domain expertise in Software and Machine Learning to radically accelerate AI and change the compute landscape forever.  

You will 
  • Engage with customers, ML researchers, and datacenter owners/operators to gather insights and define product requirements for our next-generation AI compute systems.
  • Identify performance, power efficiency, and cost targets while exploring innovative features and enhancements to meet evolving industry needs.
  • Work across product and engineering teams to translate product requirements into focused execution; help design, build, implement and deploy our solutions across multiple product generations.
  • Leverage new technologies and partnerships to accelerate our development.
  • Work directly with customers to help map their most ambitious projects to Cerebras solutions and enable their success. 
Requirements
  • Bachelor’s or Master’s degree in computer science, electrical engineering, physics, mathematics, a related scientific / engineering discipline, or equivalent practical experience. 
  • 7+ years product management experience, working with customers and engineering teams. 
  • Experience with hardware engineering, design and development of computer systems, chips, circuit boards. 
  • Machine learning domain knowledge or applied experience. 
  • Demonstrated ability to work effectively with highly technical engineering teams. 
  • Outstanding verbal and written communication skills. 
Preferred
  • Familiarity or experience with datacenter and cloud infrastructure. 
  • Familiarity or experience with ASIC development. 
  • Familiarity or experience with distributed systems, HPC system architecture and applications. 
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

Read our blog: Five Reasons to Join Cerebras in 2024.

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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