Staff Systems Technical Program Manager (Hardware)
Cerebras is hiring a Staff Systems Technical Program Manager in Sunnyvale, CA to own end-to-end program schedules for its wafer-scale AI supercomputers and data center deployments, coordinating hardware, software, supply chain, and operations teams to deliver engineering improvements on time and on budget.
- Compensation
- $180K–$230K / yr
- Location
- Sunnyvale, CA
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Hardware
- Posted
Skills
Must have
- Bachelor's or Master's degree in computer science, electrical engineering, mechanical engineering, physics, mathematics, related scientific/engineering discipline, or equivalent practical experience
- 8+ years of experience in technical program management, with a focus on hardware, embedded SW, and product planning
- Strong understanding of hardware design processes, product lifecycle management, and manufacturing workflows
- Strong understanding of the intersection of software and hardware, and how hardware changes affect software workflows
- Proven experience effectively managing project priorities across a diverse set of hardware, software, product, and operations disciplines
- Demonstrated ability to work effectively with highly technical cross-functional engineering teams
- Familiarity 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
Full description
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.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As a Staff System Technical Program Manager at Cerebras, you will spearhead operational excellence for our high-performance AI compute systems and data centers. You will own the end-to-end system schedule for design and engineering improvements, report on engineering issues, and define mitigation strategies. You will own the schedule, implementation, and software integration of hardware changes. You will collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale engine supercomputers. Your role will be critical in ensuring seamless translation of product strategy and engineering constraints into the creation and execution of massive supercomputer deployments in the US and abroad.
Responsibilities
- 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.
- Identify and implement strategies to manage costs effectively while meeting performance and efficiency targets.
- 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, related scientific/engineering discipline, or equivalent practical experience.