Senior Hardware Technical Program Manager

Responsibilities

• Own the end-to-end program schedule for engineering improvements, including comprehensive plans for materials and validation.
• Work with stakeholders in product management, quality, reliability, and supply chain to define program strategy and requirements.
• Identify and mitigate technical risks to ensure deliverables are met on time and within budget.
• Act as a single-threaded owner across product, engineering, supply chain, and software to manage high-level and detailed product planning.
• Develop and implement new processes to improve team efficiency as the business scales.
• Collaborate with supply chain and procurement teams to coordinate component sourcing, vendor management, and logistics.
• Present program status, metrics, and operational risks to senior leadership.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Mathematics, or a related scientific/engineering discipline.
• 8+ years of experience in technical program management, specifically focusing on hardware, embedded software, and product planning.
• Strong understanding of hardware design processes, product lifecycle management (PLM), and manufacturing workflows.
• Deep understanding of the intersection between hardware and software and how hardware changes impact software workflows.
• Proven ability to manage project priorities across diverse hardware, software, and operations disciplines.
• Experience working effectively with highly technical cross-functional engineering teams.
• Proficiency with project management software such as MS Project or Smartsheet.
• Strong business acumen with experience in cost management and analysis.
• Outstanding verbal and written communication skills.

About the Company

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, empowering machine learning users to effortlessly run large-scale ML applications. Our technology is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via ultra high-speed inference.