Jobs at Cerebras Systems Inc.

Leads end-to-end technical programs for AI compute systems and data center deployments. Owns engineering improvement schedules, hardware change implementation, software integration, validation, risk mitigation, and cost management. Coordinates product, engineering, manufacturing, supply chain, procurement, and software teams while presenting program status and risks to senior leadership. Develops scalable processes and ensures hardware and software deliverables meet performance, budget, and schedule objectives.

Own and scale major areas of Cerebras’s Developer Console, including billing, usage tracking, quotas, request logs, and metrics. Design frontend systems and backend services using Next.js, TypeScript, GraphQL, Postgres, and Redis. Make architectural decisions across APIs, data models, distributed systems, and real-time processing. Lead projects from conception through production, improve reliability and observability, partner with product and design, and mentor engineers.

Develop kernel-centric reliability solutions for AI compute clusters and production services. Responsibilities include debugging failures, building diagnostic tools, supporting incident response, performing root-cause analysis, improving kernel and software reliability, and collaborating with systems, hardware, ASIC, and architecture teams on reliability-focused designs.

Develop and maintain infrastructure, automation, and CI/CD pipelines for building, testing, deploying, validating, and evaluating Cerebras software across cloud and datacenter environments. Create Python and shell tools, manage Docker and Kubernetes environments, support AWS-based services, and troubleshoot software quality and performance issues.

Own monthly close and financial reporting for inventory, manufacturing costs, and global leases. Responsibilities include reconciliations, journal entries, inventory costing and reserves, ASC 842 lease accounting, audit support, controls documentation, financial disclosures, and process automation. The role partners with Operations, Supply Chain, Procurement, Facilities, Accounts Payable, and Financial Reporting to resolve issues and improve data quality.

Build, operate, and secure network infrastructure across data centers, AWS, corporate environments, and AI systems. Manage firewalls, segmentation, routing, switching, VPN, ZTNA, NAC, network access, and connectivity. Conduct security reviews, exposure remediation, troubleshooting, telemetry, detection, and incident containment. Automate network security workflows with Terraform, Ansible, Python, GitOps, and policy as code. Maintain documentation and perform hands-on data center operations onsite in Sunnyvale, California.

Build and operate distributed infrastructure software for Cerebras clusters. Responsibilities include bare-metal automation, Kubernetes operators, workload scheduling, gRPC control-plane services, authorization, observability pipelines, failure detection, high availability, automated recovery, and fleet-facing CLIs and APIs. The role requires production Go and Python, deep Kubernetes expertise, strong Linux and networking debugging skills, and experience operating distributed systems at scale.

Bring up and validate next-generation AI hardware systems and supporting software. Debug hardware-software integration failures using logs, telemetry, and diagnostic tools; develop automation frameworks, testing infrastructure, and observability tooling; reproduce and triage complex issues; and collaborate with hardware engineers to qualify systems for production.

Owns end-to-end layout of complex, high-performance multilayer PCBs for AI systems, from component placement and high-speed routing through fabrication, assembly, prototype bring-up, and production release. The role optimizes signal and power integrity, thermal performance, reliability, manufacturability, and yield; defines stackups and routing constraints; manages design libraries and release documentation; and collaborates with electrical, mechanical, manufacturing, compliance, and test teams.

Lead power delivery architecture and product power strategy for high-performance compute, AI accelerators, and advanced ASIC platforms. Responsibilities include system architecture, vertical wafer power delivery, thermal and cooling optimization, power specifications, vendor selection, and full lifecycle oversight from concept through production. The role requires expertise in high-current, low-voltage systems, multiphase power conversion, thermal modeling, semiconductor power technologies, advanced packaging, chiplets, and 2.5D/3D integration.

Lead complex signal integrity and power integrity analysis for high-speed AI compute systems across silicon, packages, PCBs, flex circuits, connectors, and interposers. Perform pre- and post-layout simulations, power delivery network analysis, root-cause investigations, hardware correlation, stack-up and impedance design, and schematic and layout reviews. Serve as the technical escalation point for SI/PI issues across multiple programs and drive design fixes with silicon, package, and hardware teams.

Own and evolve detection and response infrastructure, including security telemetry pipelines, detection execution tooling, response automation, integrations, monitoring, alerting, and operational playbooks. Build reliable, testable, documented production systems and support on-call operations. Partner with detection and response engineers while applying emerging approaches, including AI, to reduce investigative toil and strengthen security.

Establishes and governs physical security standards across contract manufacturing sites. Responsibilities include risk assessments, corrective actions, sensitive-area access controls, intellectual property protection, guard-service oversight, security technology governance, cargo security, incident response, metrics, training, and leadership reporting. The role requires regular manufacturing-site presence, stakeholder influence, and approximately 30–40% travel, with occasional off-hours incident support.

Designs and builds governed AI agents, orchestration services, integrations, and enterprise applications for Finance and business systems. The role delivers secure workflows for reporting, procurement, forecasting, billing, and compliance; establishes architecture patterns, deployment pipelines, monitoring, controls, and audit evidence; evaluates AI platforms; and transitions prototypes into reliable production solutions. It also partners with Finance, Security, IT, and executives while enabling teams to adopt safe agent design and compliance-by-design practices.

Own and improve vulnerability management across applications, dependencies, containers, operating systems, cloud infrastructure, and exposed services. Prioritize and validate vulnerabilities, partner with engineering teams on remediation, automate security workflows, integrate controls into CI/CD, identify systemic vulnerability patterns, conduct application security testing, develop risk metrics, and support incident response. The role also applies AI agents and advanced security models to vulnerability discovery, analysis, prioritization, and remediation.

Designs and operates secure, scalable cloud infrastructure and identity platforms across AWS and data centers. Builds IAM, authentication, authorization, SSO, MFA, provisioning, secrets, and key management solutions. Develops Terraform-based automation using Python or Go, supports Kubernetes services, implements Zero Trust controls, and improves reliability, observability, and developer experience. The role includes architecture reviews, cross-team technical leadership, mentoring, production support, incident response, and on-call participation.

Designs and leads CI/CD, artifact lifecycle, build, test, release, and developer infrastructure systems. Improves cloud infrastructure, code review workflows, branching strategies, automation, observability, and engineering productivity. Troubleshoots complex distributed systems, drives architectural improvements, participates in on-call and incident response, and mentors engineers across the Developer Productivity organization. Contributes to AI tooling that automates repetitive engineering workflows.

Lead supplier qualification, audits, quality-system assessment, NPI readiness, First Article Inspection approval, APQP/PPAP execution, supplier performance monitoring, and SCAR corrective actions. Partner with sourcing and engineering teams to reduce supplier risk across electronic, electromechanical, mechanical, and system-level hardware. Review process capability, control plans, inspection methods, manufacturing readiness, and change controls while driving root-cause analysis and sustained corrective action.

Leads warehouse operations, inventory control, 3PL performance, reverse logistics, and inventory governance across multiple sites and partners. Owns cycle counts, transaction accuracy, ERP/WMS discipline, exception resolution, SOX readiness, audit controls, and process scalability. Partners with Finance, Manufacturing, Logistics, Quality, Systems, and external providers to improve inventory visibility, reduce discrepancies and write-offs, strengthen operational controls, and support manufacturing continuity.

Leads enterprise business-systems analysis across Finance, Supply Chain, People, Legal, and other functions. Partners with business and technical teams to map processes, define requirements, develop roadmaps, evaluate solutions, manage testing and releases, improve controls, support vendors, and drive adoption. The role also establishes business-analysis standards, resolves production issues, and identifies automation and AI opportunities while ensuring scalability, auditability, security, and data quality.