Jobs
Required Skills
Program management
Infrastructure planning
Project coordination
Risk management
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, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top 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.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
About The Role:
Be part of the team that builds and operates the world's fastest AI infrastructure for training and inference. Your role as a TPM will help accelerate data center buildouts to meet the explosive demand for our inference service platform.
Responsibilities:
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Own end-to-end technical programs for multiple data center buildouts, coordinating with partners, contractors, and internal teams.
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Drive facility site readiness for power and cooling for Cerebras Wafer-Scale Engine systems.
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Coordinate equipment delivery and manage vendor accountability for schedules and quality related to rack integration and inter-rack cabling.
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Act as the single-threaded owner across internal partners: Hardware & Systems Engineering, Network & Storage Engineering, AI Cloud Infrastructure & Operations.
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Enforce handover criteria between site completion, equipment deployment, and operations.
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Own overall schedule tracking, risk identification, and mitigation, creating clear visibility for leadership.
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Establish program governance, risk tracking, and RACI clarity.
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Present program status, metrics, and operational risks to senior leadership.
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Drive partner accountability on contractual milestones and commercial commitments.
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Document repeatable processes and implement them to scale across future data centers.
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Partner on installation, commissioning, change management, and break/fix workflows.
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Lead incident reviews and postmortems, ensuring corrective actions are completed.
Qualifications
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Experience leading large, cross-functional infrastructure programs.
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Experience with AI/ML, HPC, or accelerator-based infrastructure.
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Strong understanding of data center power and cooling fundamentals.
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Experience installing and managing network, storage, and compute devices.
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Proven ability to define and operationalize metrics.
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Strong written and executive-level communication skills.
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Experience working with colocation providers and facilities teams.
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Background in incident management, reliability, or service operations.
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Experience running network operations teams is a plus.
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:
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Build a breakthrough AI platform beyond the constraints of the GPU.
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Publish and open source their cutting-edge AI research.
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Work on one of the fastest AI supercomputers in the world.
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Enjoy job stability with startup vitality.
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Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
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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About Cerebras

Cerebras
Series F+Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.
201-500
Employees
Sunnyvale
Headquarters
$4.1B
Valuation
Reviews
4.1
39 reviews
Work Life Balance
3.3
Compensation
4.8
Culture
4.1
Career
4.4
Management
4.0
90%
Recommend to a Friend
Pros
Strong research and publication culture
Impact on the future of AI development
Brilliant colleagues passionate about the field
Cons
Work-life balance can suffer during critical periods
High expectations and pressure to deliver
Competition for resources and recognition
Salary Ranges
2 data points
L3
Intern
L3 · Compiler Engineer Intern
1 reports
$87,000
total / year
Base
$87,000
Stock
-
Bonus
-
$87,000
$87,000
Interview Experience
50 interviews
Difficulty
3.9
/ 5
Duration
21-35 weeks
Offer Rate
23%
Experience
Positive 72%
Neutral 9%
Negative 19%
Interview Process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common Questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
News & Buzz
Cerebras Systems Highlights AI Infrastructure Strategy at MIT Sloan Tech Summit - TipRanks
Source: TipRanks
News
·
5w ago
Cerebras AI Lands A Whale As It Prepares To Go Public - Forbes
Source: Forbes
News
·
7w ago
Cerebras Inks Transformative $10 Billion Inference Deal With OpenAI - The Next Platform
Source: The Next Platform
News
·
7w ago
Cerebras Poses an Alternative to Nvidia With $10B OpenAI Deal - AI Business
Source: AI Business
News