Lead Technical Program Manager- Systems

About Cerebras Systems

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.

Job Summary

As a Lead Technical Program Manager at Cerebras, you will be managing the execution of several interdisciplinary teams of highly talented and motivated engineers in a fast-paced environment to solve some of the toughest problems in the rapidly evolving AI space.

Key Responsibilities

• Manage technical projects, working closely with key stakeholders in engineering and product management to develop and track release milestones, and builds & schedules, for the many moving parts that need to come together.
• Partner closely with System Engineering, Software Engineering, Manufacturing, Product management, and IT teams to define, prioritize, implement, and improve product features, datacenter infrastructure, and processes.
• Drive key aspects of the program through product launch, from planning, execution, and testing.
• Lead cross-functional projects, and drive and motivate the cross-functional teams to deliver the product(s) per requirements and schedule.
• Regularly present the project status, challenges, and program risks to the executive team.
• Develop tools and processes to increase engineering efficiency.
• Lead sprint planning meetings.
• Manage communication of status, risks, and blockers within the core team and with senior management.

Requirements

• Experience/expertise with design, manufacturing, and deployment of high-performance hardware infrastructure for data centers.
• Experience with program managing NPI hardware programs for the full lifecycle.
• Experience in program management and reporting on government-funded programs.
• Ability to communicate effectively with technical and non-technical stakeholders at all levels.
• Ability to multitask and manage multiple projects efficiently.
• Ability to manage the ambiguity of the projects.
• Must be responsive, flexible, and able to excel within an open collaborative peer environment.
• Good understanding of silicon, software development, system design, and manufacturing process.
• Good understanding of technical requirements for technology integration.
• Exposure to machine learning.