Cerebras

Full-stack Engineer

• Build and operate software for managing large fleets of AI clusters
• Give operators clear, actionable views of cluster health, capacity, performance, and ongoing issues
• Develop services and integrations that bring together data and workflows from multiple infrastructure systems
• Automate repetitive work and improve tools used to investigate incidents and restore service
• Design systems that remain reliable as the fleet grows and through component and site failures
• Work with Cluster Operations, infrastructure, inference, security, and data center teams
• Understand platform users' needs and make practical product and engineering decisions
• Lead projects from initial design to production, measure impact, and use operational feedback to guide improvements

AI Fleet Platform Software Engineer

General Counsel

• Lead the end-to-end legal strategy for data center acquisitions and other digital infrastructure transactions
• Handle diligence, deal structuring, financing components, negotiation and closing
• Negotiate single-tenant, powered-shell and build-to-suit leases
• Negotiate colocation, capacity reservation, development and connectivity agreements
• Manage long-term legal relationships with data center operators and lessors, financing sources and customers purchasing capacity
• Advise on post-acquisition construction, design, long-lead equipment, supply chain, regulatory issues and disputes
• Advise on corporate structure, governance and risk related to infrastructure transactions
• Work with the Global Data Centers team on complex transactions and broader strategic responsibilities

Managing Counsel, Data Center & Infrastructure

• Support the Global Data Centers team with acquisitions, development projects, and other infrastructure transactions
• Manage deals throughout their lifecycle
• Negotiate key agreements
• Provide legal guidance as data centers transition from acquisition to operation
• Execute data center acquisitions and other digital infrastructure transactions, including diligence, negotiation and closing
• Negotiate colocation agreements, powered-shell and build-to-suit leases, capacity reservation and development agreements, and connectivity contracts
• Advise on post-acquisition matters, including construction, design, long-lead equipment and supply chain transactions
• Address regulatory questions and disputes arising from infrastructure projects
• Collaborate across teams to manage interdependencies and risk

Senior Counsel, Data Center & Infrastructure

• Design and implement observability instrumentation across services and platforms
• Build and maintain telemetry pipelines for metrics, logs, and traces at scale
• Develop internal observability platforms, libraries, and tooling
• Define and operationalize SLIs, SLOs, and alerting strategies
• Partner with engineers to make systems debuggable by design
• Reduce MTTR by enabling fast root-cause analysis during incidents
• Create clear, actionable dashboards and alerts that reflect real system health
• Balance telemetry signal against cost, noise, and performance impact
• Improve the developer experience around observability and debugging
• Write production software, shape internal platforms, and work with engineers across the stack

Staff Software Engineer – Observability

• Design, implement, and maintain production ML inference APIs for chat completions, text generation, streaming, model configuration, tool calling, structured outputs, and multimodal inputs
• Create consistent request and response semantics across GPU prefill, Cerebras decode, and other heterogeneous inference backends
• Integrate emerging foundation models, tokenizers, prompt formats, sampling methods, attention variants, multimodal inputs, and model-specific features
• Maintain inference-interface compatibility while designing Cerebras-specific extensions, versioning, deprecation, validation, and backward-compatibility practices
• Extend and integrate custom inference services with vLLM, PyTorch, Hugging Face libraries, AMD ROCm, and Cerebras runtime components
• Build control and data paths coordinating GPU prefill with Cerebras decode, including request routing, state transfer, error handling, retries, and lifecycle management
• Optimize streaming, time to first token, latency, throughput, batching, serialization, tokenization, scheduling, and component communication
• Build validation systems for tokenization, sampling, logits, generated outputs, precision changes, model upgrades, determinism, and backend compatibility
• Define service indicators and build structured logging, tracing, metrics, dashboards, health checks, and diagnostic tooling
• Create conformance tests, workload-replay tools, model-validation suites, performance benchmarks, integration tests, and release gates
• Build configuration, SDKs, documentation, examples, debugging tools, and self-service workflows
• Partner with compiler, runtime, kernel, cloud, product, and solutions teams to translate requirements into scalable serving capabilities

Staff Software Engineer, Inference API

Artificial Intelligence

• Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs
• Produce and maintain rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps
• Adapt reference designs to site-specific space, power, cooling, connectivity, logistics, and hardware constraints
• Validate compute, storage, networking, power, and cabling designs as an integrated system
• Evaluate trade-offs balancing performance, reliability, scalability, cost, serviceability, and deployment schedule
• Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams
• Participate in design and deployment-readiness reviews and identify risks, inconsistencies, and missing requirements
• Support deployment teams by resolving physical integration issues and documenting approved design changes
• Contribute to root-cause analysis of deployment or integration problems
• Develop scripts and tools to automate design generation, BOM creation, cable mapping, consistency checks, and repeatable workflows
• Improve templates, standards, documentation, and design processes for repeatable, scalable deployments

AI Datacenter Infra Engineer

• Support Cerebras Systems’ Global Data Centers team in executing data center acquisition and development plans
• Own end-to-end legal strategy and execution for data center acquisitions and other digital infrastructure transactions
• Structure deals with financing components
• Own long-term legal relationships with data center operators/lessors, financing sources, and off-takers
• Provide strategic advice on Cerebras’ corporate structure and governance to minimize risk
• Collaborate cross-functionally to manage interdependencies and risk
• Negotiate Cerebras’ most important and highest-value contracts

Director, Data Center Counsel

Engineer

• Own major platform areas such as billing, usage tracking, quotas, request logs, or metrics
• Design and implement APIs, services, and user interfaces for the Cerebras Developer Console
• Define system boundaries, data models, and real-time versus batch-processing tradeoffs
• Drive ambiguous projects from idea through production and scale
• Lead technical execution by breaking down work and aligning engineers
• Improve system reliability, observability, debuggability, and production readiness
• Partner with product and design to shape developer-facing workflows and experiences
• Mentor engineers, drive design reviews, and promote simple, scalable solutions

Senior FE Engineer – Inference Console

Manager

• Manage end-to-end delivery of assigned data center construction projects from planning through commissioning and turnover
• Lead data hall buildout, including racks, containment, power distribution, cooling integration, and network readiness
• Act as day-to-day site interface with colocation providers regarding base-build readiness, SLAs, milestones, and integration points
• Drive vendors, general contractors, and trade partners to execute fit-out scope on aggressive timelines
• Implement Cerebras construction standards, playbooks, and repeatable colo deployment processes
• Coordinate base-building and tenant-improvement scopes
• Manage cost, schedule, quality, and safety across projects and workstreams
• Develop and maintain detailed construction schedules, critical paths, dependencies, resources, and recovery plans
• Identify risks, develop mitigation strategies, and escalate material issues to the Director
• Lead site-level execution teams and maintain an on-the-ground presence as required
• Partner with procurement and supply chain on long-lead equipment delivery
• Maintain project reporting, dashboards, look-ahead schedules, and executive-ready updates
• Support modularization, prefabrication, and lessons learned initiatives
• Build relationships with colocation providers and site teams
• Verify technical and delivery compliance for base-building readiness
• Ensure clear landlord and tenant scope demarcation
• Hold providers, contractors, and vendors accountable for commitments, milestones, quality, and readiness
• Resolve integration issues between colo infrastructure and Cerebras systems
• Review scope, schedule impacts, pricing, and change orders; negotiate within delegated authority
• Lead project meetings, document decisions and action items, and close outstanding issues
• Verify progress through site walks, field observations, schedule reviews, and contractor-progress validation
• Support commissioning, punch-list completion, turnover documentation, and operational handoff