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Product Manager, Hardware Systems
Product Management
on site: Sunnyvale
added Tue Sep 19, 2023
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About 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

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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Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons.

The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cerebras' commitment to pushing the boundaries of AI computing. With a staggering 4 ExaFLOP processing power, 54 million cores, and 64-node architecture, the CG-1 is the first of nine powerful supercomputers to be built and operated through an exclusive partnership between Cerebras and G42. This strategic collaboration aims to redefine the possibilities of AI by creating a network of interconnected supercomputers that will collectively deliver a mind-boggling 36 ExaFLOPS of AI compute power upon completion in 2024.

Cerebras is building a team of exceptional people to work together on big problems. Join us!