{"id":83551,"url":"https://alion.io/job/cerebras-systems-technical-lead-manager-infrastructure-hardware-server-and-network-systems","title":"Technical Lead Manager, Infrastructure Hardware (Server and Network Systems)","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":115,"ghost_share":0.122,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":194000,"max_usd":387000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cerebras","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"OpenAI","optional":false}],"status":"live","first_seen_at":"2026-08-21T16:17:32Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-28T15:47:29Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":67},"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. \nThis 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.\nCerebras 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.\nAs 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.\nAbout This Role\nThis 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.\nResponsibilities\nOwn end-to-end technical execution for server systems and network equipment in Cerebras clusters, including NPIs, platform refreshes, and major component or configuration changes.\n\nDrive requirements gathering and technical trade-off decisions, converting inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.\n\nRepresent Cluster Architecture in executive reviews, OKR cycles, and leadership or customer forums as needed.\n\nBuild and manage integrated execution plans across vendors and internal teams, tracking dependencies, critical paths, and risks.\n\nLead OEM/ODM, switch-vendor, and component-vendor engagements, including RFI/RFP activities, technical evaluations, samples, escalations, and roadmap alignment.\n\nPartner with Compute, Server Platform, and Network Architects to translate architectural direction into platform decisions, qualification plans, acceptance criteria, and rollout strategies.\n\nLead NPI execution, qualification, and release readiness, including lab/staging validation, regression tracking, issue resolution, and go/no-go decisions.\n\nStep into execution gaps as needed to drive technical issues to closure and keep server and network programs moving.\n\nOwn risk and change management into production, including versioning, rollout sequencing, and stakeholder communication.\n\nEnsure operational readiness with deployment and fleet teams and maintain alignment with rack and physical datacenter owners on power, cooling, space, and cabling constraints.\n\nSkills and Qualifications\nB.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience.\n\n8+ years in technical leadership, systems engineering, or technical program leadership for server, network, or infrastructure platforms from concept through production.\n\nExperience technically leading complex server and/or datacenter network programs across OEM/ODMs, switch vendors, component suppliers, and internal engineering teams.\n\nStrong 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.\n\nFamiliarity with Linux server fleet management, including provisioning, firmware/BIOS, drivers, and field triage.\n\nDemonstrated ability to make sound technical decisions, guide cross-functional teams, and drive issues to closure.\n\nStrong multi-team execution skills, including integrated planning, risk management, dependency tracking, and executive-level communication.\n\nAbility to operate in ambiguity and keep parallel server and network workstreams aligned.\n\nExperience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus.\n\nWhy Join Cerebras\nPeople 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:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras 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.\nThis website or its third-party tools process personal data. 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