The opportunity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
What you'll do
Own end-to-end program schedule for engineering improvements. Develop and: manage comprehensive program plans, including schedules, material plans, and validation plans.
Work with key stakeholders in product management, quality, reliability,: supply chain, and executive teams to define program strategy and requirements.
Identify and mitigate technical risks, ensuring program deliverables are met on time and within budget.
Act as the single-threaded owner across product, engineering, supply chain,: and software to manage both detailed and high-level product planning.
Develop and implement new processes that improve team efficiency as the business scales.
Collaborate with supply chain, operations, and procurement teams to: coordinate component sourcing, vendor management, and logistics.
What they're looking for
- Identify and implement strategies to manage costs effectively while meeting: performance and efficiency targets.
- Present program status, metrics, and operational risks to senior leadership
- Bachelor’s or Master’s degree in computer science, electrical engineering,: mechanical engineering, physics, mathematics, a related scientific/engineering discipline, or equivalent practical experience.
- + years of experience in technical program management, with a focus on: hardware, embedded SW, and product planning.
