Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

The Role

As the Hardware Systems Product Manager, you will be responsible for developing and executing the product strategy for our high-performance AI computer systems. These cutting-edge systems are deployed in customer data centers or made available through remote access or cloud partners, enabling transformative AI and HPC workload performance. Working closely with hardware, systems, and ASIC engineering teams, you will play a key role in prioritizing and coordinating product development. Additionally, you will collaborate with customers who operate state-of-the-art computing facilities for HPC and AI compute, aiming to revolutionize AI and reshape the computing landscape. This is a senior or director level position, depending on candidate experience and fit.

Responsibilities

• Define, develop, maintain the hardware systems product roadmap
• Define and document system specifications and requirements
• Work directly with current and prospective customers to document and deeply understand market requirements for hardware systems, including data center space, power, cooling, and integration with adjacent systems
• Serve as a primary point of contact for hardware systems engineering to define roadmap and feature priorities, working as a partner to negotiate and co-define feature scope and staging
• Serve as a primary point of contact for partners in Marketing and Product Marketing to define and articulate our product story, value proposition, and differentiation
• Act as the voice of the user for internal product, engineering, and business leadership discussions, help facilitate product strategy decisions
• Inform hardware product decisions around feature prioritization, solutions, and functionality (e.g. for power, cooling, IO, physical system chassis)
• Work across product and engineering teams to translate product requirements into focused execution; help design and build our solution to accelerate customers’ AI research and development
• Act as the voice of the product for external engagements, supporting partners in Sales, customer accounts, conferences, and external events
• Work directly with customers to help map their most ambitious projects to CS hardware systems 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
• 4+ years product management experience, working with customers and engineering teams
• Direct product management experience with data center-deployed integrated hardware systems/appliances
• Demonstrated ability to work effectively with highly technical engineering teams
• Outstanding verbal and written communication skills

Preferred

• MBA or advanced degree such as PhD in science/engineering
• Machine learning and artificial intelligence domain knowledge with application experience
• Experience with hardware power, cooling, IO, and mechanical subsystems
• Experience with microprocessor architecture and ASIC development
• Experience with computer system engineering and data center infrastructure
• Experience with distributed systems, HPC system architecture, and applications
• Experience developing customer-facing technical proposals or responses to requests for information, proposals, or quotes
• Project and program management experience
• Prior startup or small company experience

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.