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
This Sr. TPM role owns site and data center operations programs supporting Cerebras’ AI Cloud and customer deployments. The position sits at Sunnyvale HQ and works closely with Hardware Engineering, Inference Engineering, and Operations leadership to ensure Cerebras systems are reliably deployed, operated, and scaled.
This is a highly technical, execution-focused TPM role with strong emphasis on operational readiness, cross-functional coordination, and metrics/KPIs.
Responsibilities
Own end-to-end technical programs for data center and site operations
Act as single-threaded owner across:
Hardware & Systems Engineering
AI Cloud Infrastructure & Operations
Network & Storage Engineering
Facilities, power, cooling, and colo partners
Drive site readiness for Cerebras Wafer-Scale Engine systems
Partner on installation, commissioning, change management, and break/fix workflows
Lead incident reviews and postmortems; ensure corrective actions are closed
Define and own operational metrics and KPIs, including:
Availability and reliability
Incident rate, severity, MTTR / MTTD
Deployment readiness and time-to-service
Capacity and operational risk
Build executive-level dashboards and reporting
Establish program governance, risk tracking, and RACI clarity
Present program status, metrics, and operational risks to senior leadership
Required Background
8+ years in Technical Program Management, Infrastructure Ops, or Data Center Ops
Experience leading large, cross-functional infrastructure programs
Strong understanding of:
Data center power and cooling fundamentals
Network and storage basics
Hardware-centric platforms
Proven ability to define and operationalize metrics
Strong written and executive-level communication skills
Preferred Experience
AI/ML, HPC, or accelerator-based infrastructure
High-density and/or liquid-cooled data centers
Working with colocation providers and facilities teams
Incident management, reliability, or service operations background
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.
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Skills Required
- 8+ years in Technical Program Management, Infrastructure Ops, or Data Center Ops
- Experience leading large, cross-functional infrastructure programs
- Understanding of data center power and cooling fundamentals
- Understanding of network and storage basics
- Experience with hardware-centric platforms
- Proven ability to define and operationalize metrics and KPIs
- Strong written and executive-level communication skills
- AI/ML, HPC, or accelerator-based infrastructure experience
- Experience with high-density and/or liquid-cooled data centers
- Experience working with colocation providers and facilities teams
- Incident management, reliability, or service operations background
What We Do
Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.
