The Role

Cerebras is seeking a Commissioning Lead to own the end-to-end commissioning and readiness of AI data center infrastructure across colocation environments. This role is responsible for ensuring all systems are tested, validated, and fully operational prior to handover, with zero tolerance for failures in mission-critical environments. You will operate with high ownership in a fast-paced startup environment, driving commissioning execution across multiple concurrent sites and ensuring rapid, reliable capacity bring-up.

Responsibilities

• Lead commissioning strategy and execution across all colo data center deployments.

• Own full lifecycle commissioning from Level 1–5 testing through integrated systems testing (IST).

• Develop and enforce commissioning plans, scripts, and procedures.

• Coordinate with construction, engineering, vendors, and colo providers to ensure readiness.

• Oversee testing of electrical systems (switchgear, UPS, generators), mechanical systems (cooling), and IT infrastructure.

• Ensure all systems meet design intent, performance requirements, and reliability standards.

• Drive issue identification, resolution, and closure prior to handover.

• Manage commissioning agents, vendors, and third-party testing teams.

• Establish standardized commissioning processes for repeatable deployments.

• Track and report commissioning progress, risks, and readiness to executive leadership.

• Ensure all documentation, test results, and turnover packages are complete and accurate.

• Validate base building readiness from colo providers prior to fit-out energization.

• Coordinate integration between landlord systems and tenant infrastructure.

• Ensure alignment on power availability, redundancy, and cooling capacity.

• Resolve interface issues between colo infrastructure and Cerebras systems.

• Hold providers accountable for performance during testing and energization.

Skills & Qualifications

• 10–15+ years of experience in commissioning of mission-critical facilities.

• Deep expertise in data center electrical and mechanical systems.

• Experience leading Level 1–5 commissioning for large-scale projects.

• Strong understanding of high-density compute environments.

• Experience working in colo environments and coordinating landlord/tenant interfaces.

• Proven ability to manage multiple sites and fast-track deployments.

• Strong troubleshooting and problem-solving skills.

• Ability to operate in a fast-paced, high-growth startup environment.

• Excellent communication and stakeholder management skills.

Location: Remote, USA

The base salary range for this position is $220,000 to $260,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role

Cerebras is seeking a Network & Fiber Engineer to lead the design, deployment, and validation of high-performance network and fiber infrastructure across colocation data centers. This role is critical to enabling AI-scale compute clusters by ensuring low-latency, high-throughput connectivity between racks, data halls, and external networks. You will operate with high ownership in a fast-paced startup environment, working closely with construction, commissioning, and IT teams to bring network infrastructure online quickly and reliably.

Responsibilities

• Own end-to-end fiber and network infrastructure deployment across colo data center sites.

• Design fiber pathways, structured cabling systems, and high-density fiber distribution architectures.

• Oversee installation of fiber (SMF/MMF), patch panels, trays, and cable management systems.

• Coordinate with construction and commissioning teams to align network readiness with overall site delivery.

• Validate fiber installations including testing (OTDR, insertion loss, continuity).

• Support deployment of network hardware including switches, routers, and interconnects.

• Ensure low-latency, high-bandwidth connectivity across racks and clusters.

• Develop and maintain standards for fiber design, labeling, and documentation.

• Troubleshoot network and fiber issues during deployment and post-handover.

• Manage vendors, installers, and low-voltage contractors.

• Track progress, risks, and readiness across multiple sites.

• Coordinate with colo providers for meet-me room (MMR) connectivity and cross-connects.

• Ensure alignment on demarcation points and handoff standards.

• Manage external connectivity including ISP, dark fiber, and backbone integration.

• Validate provider fiber infrastructure and resolve interface issues.

Skills & Qualifications

• 7–12+ years of experience in network and/or fiber engineering in data centers or telecom environments.

• Strong experience with fiber design, installation, and testing (OTDR, power meter).

• Familiarity with high-density fiber systems (MPO/MTP).

• Experience deploying and troubleshooting network infrastructure.

• Understanding of data center architectures and high-performance computing environments.

• Experience working in colo environments is highly preferred.

• Ability to manage multiple concurrent deployments.

• Strong problem-solving and troubleshooting skills.

• Excellent communication and coordination abilities.

Location: Remote, USA

The base salary range for this position is $250,000 to $290,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role

Cerebras is seeking a Director of Procurement to lead sourcing, contracting, and supply chain execution for data center infrastructure and critical equipment. This role is responsible for securing capacity, negotiating commercial terms, and ensuring timely delivery of long-lead equipment to support rapid AI infrastructure deployment.

You will operate with high ownership in a fast-paced startup environment, driving both strategic supplier partnerships and tactical execution across multiple concurrent builds.

Responsibilities  

• Own procurement strategy for all data center equipment including electrical, mechanical, and IT infrastructure.
  • Lead sourcing and contracting for major equipment packages (switchgear, transformers, UPS, generators, cooling systems, racks).
  • Negotiate commercial terms, pricing, lead times, and risk allocation with suppliers and contractors.
  • Develop and manage master service agreements (MSAs), purchase agreements, and vendor contracts.
  • Drive cost optimization while maintaining speed and quality of delivery.
  • Partner with construction and engineering teams to align procurement with deployment schedules.
  • Manage supplier performance, ensuring on-time delivery and quality compliance.
  • Identify and mitigate supply chain risks, including long-lead constraints and market volatility.
  • Build strategic relationships with key OEMs and vendors.
  • Establish scalable procurement processes, tools, and reporting mechanisms.
  • Track and forecast spend across multiple projects and regions.
• Lead contract negotiations for EPCs, GCs, and major vendors.
  • Define contract structures that align incentives with schedule and performance outcomes.
  • Manage change orders, claims, and commercial disputes.
  • Ensure clear scope definition and risk allocation across all agreements.
  • Standardize contract templates for rapid deployment across multiple sites.
  • Partner with legal and finance to ensure compliance and governance.

Skills & Qualifications  

• 12–15+ years of experience in procurement, sourcing, or supply chain for large-scale infrastructure projects.
  • Strong experience in data center, mission-critical, or industrial environments.
  • Deep knowledge of electrical and mechanical equipment supply chains.
  • Proven ability to negotiate complex, high-value contracts.
  • Experience managing global suppliers and multi-site programs.
  • Strong financial acumen and cost management expertise.
  • Ability to operate in a fast-moving, ambiguous startup environment.
  • Excellent stakeholder management and communication skills.

Location: Remote, USA

The base salary range for this position is $280,000 to $350,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

In late 2024, we launched Cerebras Inference, the fastest Generative AI inference service in the world, over 10 times faster than GPU-based hyperscale cloud inference. Since launch, we’ve scaled to meet the surging demand from AI labs, enterprises, and a thriving developer community. 

In October 2025, we announced our series G funding, raising $1.1 billion USD to accelerate the expansion of our products and services to meet global AI demand. 

About the team 

The Cerebras Inference team’s mission is to deliver the world’s most performant, secure, and reliable enterprise-grade AI service. We build and operate large-scale distributed systems that power AI inference at unprecedented speed and efficiency. Join us to help scale inference and accelerate AI. 

About the role 

We’re looking for a hands-on Reliability Tech Lead (IC) to own the mission of making Cerebras Inference the most reliable AI service in the world. You will drive reliability strategy and execution across our inference stack, from client SDKs and public-cloud multi-region deployments to wafer-scale systems in specialized data centers. 

In this role, you will define SLOs and incident-response frameworks, design and implement reliability mechanisms at scale, and partner across hundreds of engineers to ensure our service meets world-class reliability standards. 

If you are passionate about building and operating massive-scale, low-latency, high-reliability distributed systems, we want to hear from you. 

Responsibilities: 

• Define and drive reliability strategy: establish SLOs and ensure alignment across engineering. 

• Design and implement reliability mechanisms: build and evolve systems for fault detection, graceful degradation, failover, throttling, and recovery across multiple regions and data centers. 

• Lead large-scale incident management: own postmortems, root-cause analysis, and prevention loops for reliability-related incidents. 

• Architect for reliability and observability: influence system design for redundancy, durability, and debuggability. 

• Develop reliability tooling: create internal tools and frameworks for chaos testing, load simulation, and distributed fault injection. 

• Collaborate broadly: work across software, infrastructure, and hardware teams to ensure reliability is embedded into every layer of our inference service. 

• Monitor and communicate reliability metrics: build dashboards and alerts that measure service health and provide actionable insights. 

• Mentor and influence: guide engineers and set best practices for designing, testing, and operating reliable large-scale systems. 

Skills & Qualifications: 

• Bachelor's or master's degree in computer science or related field. 

• 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems. 

• Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust. 

• Deep and hard-earned experience of reliability principles: SLO/SLI/SLA design, incident response, and postmortem culture. 

• Excellent communication and cross-functional leadership skills. 

• Bonus: prior experience building large-scale AI infrastructure systems. 

About The Role

The Cybersecurity GRC Manager is accountable for maturing and scaling engineering-driven governance, risk, and compliance programs that support the security, privacy, and regulatory-compliant posture of the organization. The ideal candidate will bring a unique blend of deep technical security acumen and GRC expertise, enabling the creation of GRC workflows that are measurable, automated, and resilient. This is a strategic, cross-functional, and customer-facing role reporting to the Director of Governance, Risk, & Compliance. 

A successful candidate will have a comprehensive understanding of cybersecurity and privacy industry frameworks (e.g., NIST, ISO, SOC 2, CCPA, GDPR, HIPAA). They will be responsible for transforming governance, risk, and compliance practices into proactive, testable capabilities using automation, continuous auditing, and AI-driven solutions. 

Proficiency with AI tools (LLMs, prompt engineering, generative‑AI workflows) is a core requirement – you’ll use AI to streamline GRC workflow creation and implementation, evidence generation, and security risk mitigation. Experience with designing and implementing autonomous “agentic AI” solutions is preferred. 

Responsibilities 

• Drive a compliance operating model that includes automated control testing, self-service reporting, and AI-enhanced risk analysis. Implement continuous control monitoring and evidence collection pipelines integrated into cloud-native and on-prem environments. 
• Partner with engineering and product teams to define and codify security and compliance requirements as part of the SDLC. Introduce automated security/compliance tests into CI/CD pipelines to support shift-left practices. 
• Use generative AI for compliance gap detection, policy mapping, risk triaging, and customer assurance functions. 
• Oversee security and privacy assurance activities and assessments, internal/external audits, and attestation/certification initiatives (e.g., SOC 2, ISO 27001). Lead internal readiness for third-party audits and external assessments and maintain ongoing compliance posture. 
• Utilize automation and GRC platforms to optimize gathering and maintenance of audit readiness documentation and audit evidence. 
• Utilize AI-driven solutions to manage the organization’s responses to customers’ and partners’ cybersecurity requests (e.g. information security questionnaires). 
• Enhance and execute third-party security risk management practices, including inherent / residual security risk assessment, vendor / supplier security due diligence reviews, vendor / supplier inventory management, ongoing security monitoring, and risk reporting. 
• Build and maintain enterprise-level risk registers; facilitate and monitor security risk acceptance processes; design and maintain security risk measurement and monitoring including risk reporting. 
• Grow and expand cybersecurity guidance through development and maintenance of cybersecurity policies, standards, and procedures. 
• Manage security awareness programs through administration of regular security trainings, phishing simulations, and corporate communications. 

Skills And Qualifications   

Required Experience 

• Bachelor’s degree in computer science, Cybersecurity, or related engineering field; advanced degree preferred. 
• Minimum 5 years of progressive experience in cybersecurity, security engineering, and/or risk management. 
• Proven success managing compliance programs in cloud-native, SaaS/PaaS environments with high automation maturity. 
• Demonstrated ability to manage customer-facing compliance engagements and audit preparation. 

Technical and Domain Expertise 

• Deep knowledge of, and experience working with, industry frameworks (NIST SP800-53, ISO 27001, SOC 2, CCPA, GDPR, HIPAA).  
• Strong familiarity with AI/ML usage in security programs and risk analysis.  
• Experience implementing and administering GRC tools/platforms. 
• Proficiency in cloud security, AI security, secure development / DevSecOps practices, and infrastructure-as-code (IaC) security tooling. 
• Experience implementing automated compliance and control validation pipelines. 

Soft Skills 

• Excellent communication, stakeholder management, and executive reporting skills. 
• Ability to influence cross-functional teams and operate in fast-paced, high-growth environments. 
• Strong analytical, critical thinking, and decision-making capabilities.