Staff Systems Technical Program Manager (Hardware)
Cerebras is hiring a Staff Systems Technical Program Manager (Hardware) in Sunnyvale, United States. It pays $180k-$230k a year and Level rates it ; you can apply on Cerebras.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include OpenAI, Hardware and Supply Chain.
- Level classifies it as a senior role.
- Level lists 116 other open roles at Cerebras.
AI in this role
Lead operational execution and program management for high-performance AI compute hardware systems and data center deployments.
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.
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.
The base salary range for this position is $180,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
How we rate this
Staff Systems Technical Program Manager (Hardware) at Cerebras rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where scheduling was part of your work. What did you do?
- Tell me about a project where operations was part of your work. What did you do?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Research, Program Management, Scheduling, Operations, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new product jobs (Works on AI ●●●○ or higher) by email
One email a week with the new product jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Product roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step