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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. As a Technical Lead Manager, Infrastructure Hardware (Server and Network Systems) on the Cluster Architecture Team, you will provide technical leadership and drive end-to-end execution of server and network platform programs—including new product introductions (NPIs)—across Cerebras CS-3–based AI clusters. You will lead programs from requirements and technical trade-offs through vendor selection, lab bring-up, qualification, and production rollout. You will be the technical execution owner across OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. About This Role This role combines technical leadership with hands-on execution. You must understand server, network, and system-level design deeply enough to lead technical reviews, make and document practical trade-offs, and unblock execution—while partnering closely with Compute, Server Platform, and Network Architects on broader architectural direction. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments, without owning physical datacenter design. Responsibilities Own end-to-end technical execution for server systems and network equipment in Cerebras clusters, including NPIs, platform refreshes, and major component or configuration changes. Drive requirements gathering and technical trade-off decisions, converting inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables. Represent Cluster Architecture in executive reviews, OKR cycles, and leadership or customer forums as needed. Build and manage integrated execution plans across vendors and internal teams, tracking dependencies, critical paths, and risks. Lead OEM/ODM, switch-vendor, and component-vendor engagements, including RFI/RFP activities, technical evaluations, samples, escalations, and roadmap alignment. Partner with Compute, Server Platform, and Network Architects to translate architectural direction into platform decisions, qualification plans, acceptance criteria, and rollout strategies. Lead NPI execution, qualification, and release readiness, including lab/staging validation, regression tracking, issue resolution, and go/no-go decisions. Step into execution gaps as needed to drive technical issues to closure and keep server and network programs moving. Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication. Ensure operational readiness with deployment and fleet teams and maintain alignment with rack and physical datacenter owners on power, cooling, space, and cabling constraints. Skills and Qualifications B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience. 8+ years in technical leadership, systems engineering, or technical program leadership for server, network, or infrastructure platforms from concept through production. Experience technically leading complex server and/or datacenter network programs across OEM/ODMs, switch vendors, component suppliers, and internal engineering teams. Strong knowledge of server architecture—including CPU/NUMA, memory bandwidth, PCIe, NIC, and storage I/O—and networking fundamentals including leaf-spine fabrics, switch platforms, optics, and high-performance interconnects. Familiarity with Linux server fleet management, including provisioning, firmware/BIOS, drivers, and field triage. Demonstrated ability to make sound technical decisions, guide cross-functional teams, and drive issues to closure. Strong multi-team execution skills, including integrated planning, risk management, dependency tracking, and executive-level communication. Ability to operate in ambiguity and keep parallel server and network workstreams aligned. Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure 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: 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.

What you’ll do

You will lead the end-to-end technical execution of server and network platform programs, including new product introductions and cluster architecture development. This involves managing vendor engagements, driving technical trade-offs, and ensuring operational readiness across cross-functional teams.

Requirements

Candidates must have at least 8 years of experience in technical leadership or systems engineering for infrastructure platforms. A bachelor's or master's degree in Computer Science, Electrical/Computer Engineering, or equivalent experience is required.

Listed skills

• Risk Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Technical Leadership
• Systems Engineering
• Server Architecture
• Network Infrastructure
• NPI
• Hardware Qualification
• Vendor Management
• Linux Server Management
• PCIe
• Leaf-spine Fabrics
• High-performance Interconnects
• Cross-functional Team Leadership
• Risk Management
• Dependency Tracking
• AI/ML Infrastructure
• HPC
• Inventory Staging
• Continuous Development
• Stakeholder Communications
• Technical Issues
• AI/ML Inference
• Rack Elevation Drawings
• Edge Intelligence
• Machine Learning Model Training
• Planning
• Research
• Artificial Intelligence
• Applications Of Artificial Intelligence
• BIOS
• Management
• Change Management
• Communication
• Computer Science
• Computer Engineering
• Network Interface Controllers
• Firmware
• Leadership
• Networking Hardware
• Linux Servers
• Machine Learning
• Milestones (Project Management)
• New Product Development
• Operations
• PCI Express
• Requirements Elicitation
• Request For Proposal
• Safety Assurance
• Supercomputing
• Software Technical Review
• Triage

Job areas

• Technology
• Engineering
• Management & Leadership
• Software
• Data & Analytics
• Network Infrastructure Manager
• Production Worker
• Assemblers Not Elsewhere Classified
• Production Workers, All Other