Currently tracking 36 active AI roles, up 46% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$250k (avg $206k).
Cerebras currently has 38 active AI-related job listings. The majority of these roles, 79%, are focused on serving infrastructure. The top hiring function is Engineering, with 32 roles. The company is actively hiring in the United States and Canada. Frequent tech tags include model_serving and inference_infra. In the last 30 days, Cerebras posted 4 new AI roles, representing a 20% decrease compared to the previous 30-day period.
Cerebras currently has 39 active AI-related roles in our index. The most common open titles are: Kernel Engineer (2), ML Systems Performance Engineer (2), LLM Inference Performance & Evals Engineer, AI Infrastructure Operations Engineer, AI Models, Product Manager. Most positions are in Engineering and Research.
Cerebras's active AI hiring is concentrated in: serving infrastructure (85%), post-training (8%), pre-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cerebras is hiring AI talent in: United States (23 roles), Canada (20 roles), India (6 roles), United Arab Emirates (3 roles).
Job postings at Cerebras most frequently reference: model serving, inference infra, fine tuning, llm observability, frontier research.
In the past 30 days, Cerebras has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Director, Business Operations The Director of Business Operations at Cerebras Systems will be responsible for building and scaling the business operations, analytics, and execution systems to support the company's growth in AI chip manufacturing and deployment. This role involves partnering with operational leaders, driving closed-loop operational change, developing KPI and reporting architecture, and ensuring data quality and system integration. While the company builds AI hardware and partners with AI companies like OpenAI, this specific role focuses on the business operations and analytics to support the scaling of these operations, rather than direct AI/ML model development or research. | — | 5 |
| IT SRE Team Lead This role is for an IT SRE Team Lead responsible for the reliability, availability, and performance of Cerebras' internal IT systems. The lead will build and manage a team focused on automation, observability, and incident response, treating infrastructure as code with measurable SLOs. While the company builds AI hardware and has AI customers, this specific role focuses on internal IT operations, though it mentions using AI coding tools for triage and bug fixes. | — | 5 |
| Cybersecurity GRC Manager Cerebras is seeking a Cybersecurity GRC Manager to mature and scale governance, risk, and compliance programs. This role involves using AI tools to streamline GRC workflows, automate control testing, and manage security risk. The ideal candidate will have deep technical security acumen, GRC expertise, and experience with industry frameworks. This is a strategic, cross-functional role focused on ensuring the security, privacy, and regulatory compliance of the organization's posture. | — | 5 |
| Senior Hardware Technical Program Manager This role is for a Senior Hardware Technical Program Manager at Cerebras, a company that builds large AI chips. The role focuses on managing the end-to-end hardware schedule for AI compute systems and data centers, including design, engineering improvements, software integration, and collaboration with various engineering and operational teams. The goal is to ensure the efficient creation and deployment of supercomputer systems for AI workloads. | — | 5 |
| Security SWE The role is for a Security SWE on the AI cloud team, responsible for customer-facing inference, training, and admin consoles and API experiences. The focus is on building responsive, user-friendly frontend interfaces for developers using Cerebras' AI hardware. | — | 5 |
| Software Engineer, Kernel Reliability Software engineer to join the Kernel Reliability team, focusing on improving the reliability of Cerebras' AI compute clusters and underlying inference, training, and internal production services. The role involves working closely with code, designing scalable solutions, and debugging complex issues. | — | 5 |
| Software Automation Engineer- Systems The role focuses on developing software automation frameworks, tools, and applications to improve operational efficiency and streamline business processes within Cerebras Systems, which builds large AI chips and provides AI compute solutions. The engineer will collaborate with cross-functional teams to identify automation opportunities, build process automation systems, and create data-driven solutions. The position requires strong software engineering fundamentals, experience with automation tools, and Python development. | — | 5 |
| Full Stack Engineer – Manufacturing Test Cerebras is seeking a Full Stack Engineer to design, build, and maintain a manufacturing test software solution for their AI chip. This role involves developing user interfaces and data processing frameworks to improve manufacturing efficiency, quality, and scalability, collaborating with hardware design, engineering, operations, and data analytics teams. | — | 5 |
| Vice President, Creative & Integrated Marketing This role leads brand expression and integrated marketing programs for Cerebras, a company that builds large AI chips. The VP will oversee creative vision, campaign strategy, and pipeline alignment to drive awareness and growth, working closely with product marketing, communications, and sales teams. Experience in AI or high-complexity technical markets is preferred. | — | 5 |
| Senior Product Marketing Manager, AI Inference Product Marketing Manager for AI Inference at Cerebras, focusing on positioning and promoting their wafer-scale AI chip's inference capabilities. The role involves creating technical content, building community and influencer programs, and driving organic growth by highlighting Cerebras' speed advantage in the AI market. | — | 5 |
| Infrastructure Hardware Technical Program Manager (Server and Network Systems) This role is for an Infrastructure Hardware Technical Program Manager responsible for the end-to-end delivery of server and network platform programs for Cerebras CS-3-based AI clusters. The role requires technical understanding of server and network systems, program management skills, and experience coordinating with vendors and internal teams. While the company builds AI hardware and infrastructure, the role itself is focused on the hardware program management rather than direct AI/ML model development or research. | — | 5 |
| Compute Server Platform Architect Cerebras is building a novel wafer-scale AI chip and associated server platform for AI training and inference. This role focuses on the server-side platform architecture, including CPU, memory, IO, and networking, to ensure predictable performance, scalability, and reliability for AI clusters. The architect will translate workload behavior into hardware requirements, develop performance models, and engage with vendors to drive platform evaluations and adoption. | — | 5 |
| System Software Engineer (Embedded) Cerebras Systems is seeking a System Software Engineer (Embedded) to build the critical software foundation for their AI chip. This role involves developing administrative software, providing Linux BSP support, collaborating with hardware teams, and improving system reliability and observability. The position is focused on the embedded systems and platform engineering aspects that enable the AI hardware to function at scale. | — | 5 |
| Senior Yield Enhancement Engineer Senior Yield Enhancement Engineer role at Cerebras, focusing on semiconductor testing, failure analysis, and yield improvement for their AI chip. The role involves analyzing ATE data, developing failure analysis tools, and collaborating with various engineering teams to enhance testability and yield. While the company builds AI chips and the role touches AI applications, the core craft is semiconductor engineering and testing, not direct AI/ML model development. | — | 5 |
| Senior/Staff- Engineer: Post Silicon- Bring Up This role focuses on the post-silicon bring-up and optimization of Cerebras's Wafer Scale Engine (WSE), which is designed for AI compute. The engineer will work on refining AI systems across hardware and software constraints, developing infrastructure for workload testing, and enhancing performance of the WSE. While the company builds AI hardware and is used for AI workloads, the role itself is primarily focused on the hardware bring-up and optimization rather than direct AI model development or research. | — | 5 |
| AI Infrastructure Operations Engineer Entry-level AI Infrastructure Operations Engineer responsible for deploying, monitoring, and troubleshooting Cerebras AI infrastructure in data center environments. Supports CS systems, cluster server hardware, networking hardware, and telemetry tools. | — | 5 |
| Cluster UI Full Stack, Engineering Lead The role is for a Full Stack Engineering Lead to build and manage a UI-based portal for Cerebras' large-scale AI chip clusters. This involves cluster operations, job management, and health monitoring, integrating with backend systems and leading a small team. While the company builds AI hardware and serves AI workloads, this specific role focuses on the infrastructure management UI, not direct AI model development or research. | — | 5 |
| Distributed Software Engineer The role is for a Distributed Software Engineer at Cerebras, a company that builds large AI chips and supercomputers. The engineer will be responsible for automating bare-metal configuration, developing push-button workflows for cluster management, and building an orchestration and scheduler system for resource allocation in a multi-user environment. The role also involves supporting both on-premise and cloud deployments, implementing robust monitoring and failure handling systems, and developing user and administrator facing tools for cluster management. | — | 5 |
| Engineering Manager, Kernel Reliability Cerebras Systems is seeking an Engineering Manager for their Kernel Reliability team. This role focuses on improving the reliability of their AI compute clusters, inference, training, and internal production services. The manager will provide technical leadership, own the roadmap, and work on tooling for failure analysis and diagnostics. The position requires expertise in software/hardware reliability, parallel/distributed programming, and debugging tools, with experience leading engineering teams. | — | 5 |
| CoDesign & NextGen - New College Grad Cerebras Systems is seeking a New College Grad Engineer for their CoDesign & NextGen organization. This role involves working at the intersection of software and hardware, focusing on kernel development, ASIC performance modeling, system bring-up, software tuning, and validation. The position requires a strong background in computer architecture, analytical skills, and experience with C++ and Python. Exposure to machine learning is desired. The role contributes to Cerebras' AI chip development, which aims to provide high-performance training and inference for large-scale ML applications. | — | 5 |
| Senior Technical Program Manager – AI Infrastructure, Site Operations This role is for a Senior Technical Program Manager focused on site and data center operations programs that support Cerebras' AI Cloud and customer deployments. The position requires strong technical and execution skills in managing infrastructure programs, with an emphasis on operational readiness, cross-functional coordination, and metrics/KPIs. | — | 5 |
| Network Architect Cerebras is building the world's largest AI chip and offers industry-leading training and inference speeds. This role is for a Network Architect responsible for the front-end datacenter and interconnect architecture of Cerebras AI clusters, focusing on designing, developing proof-of-concept for, and ensuring the reliability of network designs for AI workloads. The role involves cross-functional collaboration with hardware and software teams, vendor management, and understanding network monitoring and debugging. | — | 5 |
| Lead RTL Design Engineer Cerebras Systems is seeking a Lead RTL Design Engineer to design and develop the next generations of their Wafer Scale Engine (WSE), a large AI chip designed for high-performance training and inference. The role involves RTL design, integration, vendor management, and collaboration with various engineering teams to bring semiconductor architectures from concept to production. | — | 5 |
| AI Silicon Physical Design Engineer The AI Silicon Physical Design Engineer role at Cerebras focuses on the physical design and implementation of AI chips, specifically optimizing for power, performance, and area in high-speed designs. This involves synthesizing, placing, and routing, collaborating with RTL teams, and ensuring seamless integration into the full-chip architecture. The role requires extensive experience in physical design methodologies, timing closure, and verification tools, with a strong emphasis on scripting for flow enhancements. | — | 5 |
| Distributed Systems Cluster Security Software – Engineering Lead Cerebras is seeking an Engineering Lead for Distributed Systems Cluster Security. This role will be responsible for the security of Cerebras's large-scale AI clusters, which include AI chips, servers, networking, and storage. The lead will develop security engineering solutions, ensure end-to-end security and privacy, and build an engineering team to deliver world-class security solutions. Experience in distributed systems security, multi-tenancy, and cluster networks is necessary, with a preference for Kubernetes and bare-metal cluster management software. | — | 5 |
| Senior WAN Network Engineer Cerebras is seeking a Senior WAN Network Engineer to design, implement, manage, and optimize global connectivity for their AI chip company. The role involves ensuring high availability, performance, and reliability of global network services, collaborating with telecom providers, configuring routing and security protocols, monitoring performance, and supporting network modernization and cloud connectivity projects. Experience with network automation tools and major network vendors is required. | — | 1 |
| Contracts & Legal Operations Manager This role is for a Contracts & Legal Operations Manager at Cerebras, a company that builds AI chips. The manager will administer contract management systems, negotiate contracts, structure compliance programs, and manage diligence data rooms. A key responsibility includes investigating and testing AI tools for the legal team, but the core function of the role is legal operations and contract management, not AI development. | — | 1 |
| Senior Front End Design Engineer (Microarchitecture) Senior Front End Design Engineer (Microarchitecture) at Cerebras Systems, focusing on designing and developing the next generations of their AI chip, the Wafer Scale Engine (WSE). Responsibilities include RTL design, integration, and collaborating with various teams to bring semiconductor architectures from concept to production. Requires 8+ years of experience in complex RTL designs and a background in networking, HPC, or machine learning fields. | — | 0 |
| Senior Front End Design Engineer (Microarchitecture) This role is for a Senior Front End Design Engineer focused on the microarchitecture of Cerebras' AI chips. While the company builds hardware for AI, the role itself is in semiconductor design (RTL, synthesis, PPA, etc.) and not directly involved in building AI models or systems. The responsibilities are centered on chip design and integration, with a focus on performance and power efficiency for AI compute. | — | 0 |
| Design Verification Engineer Cerebras Systems is seeking a Design Verification Engineer to work on their AI chip. The role involves developing and implementing verification strategies, creating reusable verification environments, and collaborating with cross-functional teams to ensure a high-quality design. The position requires strong debugging skills, knowledge of SystemVerilog, UVM, and software engineering practices, as well as scripting languages like Python or Perl. Experience with verification methodologies and tools is essential. The company builds the world's largest AI chip, offering significant AI compute power and enabling large-scale ML applications and fast inference, particularly for Generative AI. | — | 0 |
| Design Verification Engineer Cerebras Systems is seeking a Design Verification Engineer to work on their AI chip, focusing on ensuring a high-quality design through verification strategies, test development, and debugging across simulation, emulation, and silicon bring-up. The role involves collaborating with cross-functional teams and enhancing verification infrastructure. | — | 0 |
| Business Operations Lead, Datacenters Cerebras is seeking a Business Operations Lead for their Datacenters organization. This role will partner with senior leaders to build the operating system for the organization, focusing on planning, operating cadence, communications, and execution. The goal is to create structure, predictability, and transparency to improve decision-making and execution quality as the datacenter organization scales. | — | 0 |
| Director / Senior Director, Critical Facility Operations The Director / Sr. Director of Critical Facility Operations will lead the environments that enable next-generation AI workloads. This leader will own availability, operational integrity, and performance across a colocation-driven data center footprint, ensuring infrastructure operates with precision and predictability. The role involves mission-critical engineering, vendor orchestration, and operational excellence, building systems and teams that can scale with demanding compute environments. | — | 0 |
| Mechanical Engineer Mechanical Engineer to lead the design of mechanical systems for Cerebras' next-generation wafer-scale AI chip, ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product. Responsibilities include developing mechanical infrastructure, iterating on designs, supporting testing, and collaborating with cross-functional teams. | — | 0 |
| Software Architect – Manufacturing Test Software Architect for Cerebras' manufacturing test platform, leading a team to design and deliver end-to-end software systems for manufacturing test across the product lifecycle. The role involves owning the technical vision, architecture, and roadmap for cloud and physical infrastructure, collaborating with various engineering and operations teams. | — | 0 |
| Senior Accountant This role is for a Senior Operations Accountant at Cerebras Systems, a company that builds large AI chips. The accountant will be responsible for cost capitalization, inventory accounting, fixed assets, manufacturing analysis, and supporting audits. The role requires a Bachelor's degree in Accounting or Finance, 4+ years of experience in manufacturing or hardware accounting, and proficiency in NetSuite and Excel. CPA or CMA is preferred. The company emphasizes its AI hardware and its role in the AI industry. | — | 0 |
| Director, Strategic Finance - Corporate FP&A This role is for a Director of Strategic Finance, Corporate FP&A at Cerebras Systems, a company that builds large AI chips. The role focuses on building the company's financial planning and analysis (FP&A) operating system, including long-range planning, annual planning, forecasting, executive reporting, and business partnering. The individual will be responsible for creating financial infrastructure, KPI and reporting architecture, financial models, and business partnerships, as well as driving improvements in financial systems and AI-enabled workflows. The role requires experience in public-company finance operations and aims to provide decision-ready insights as the company scales. | — | 0 |
| Head of Data Center Acquisition This role is for a Head of Data Center Acquisition at Cerebras, a company that builds large AI chips. The primary focus is on securing data center capacity to meet the demand for Cerebras' AI inference solutions. The role involves sourcing, evaluating, and leading commercial negotiations for data center providers, developers, and colocation sites across North America and Europe. Key responsibilities include diligence on power, site, permits, security, and schedule, ensuring compliance with regulations, and building a team to execute these acquisitions. The goal is to build a repeatable system for data center acquisition that ensures credible supply and drives high-velocity decision-making. | — | 0 |
| Sourcing Manager – Critical Components The Sourcing Manager – Critical Components is responsible for developing and executing global sourcing strategies to secure high-quality, cost-effective critical components and materials for Cerebras, a company that builds large AI chips and provides AI compute power. The role ensures supply chain continuity, minimizes risk, and drives innovation by leveraging market analysis, supplier relationship management, and advanced negotiation tactics. The manager collaborates with cross-functional teams to align procurement activities with organizational goals, optimize procurement processes, and enhance supplier relationships. | — | 0 |
| Manufacturing Linux Network Engineer Cerebras Systems is seeking an experienced Manufacturing Linux Network Engineer to design, implement, and maintain robust IT and network infrastructure across their manufacturing facilities. This role requires deep expertise in Linux systems administration (Red Hat / Rocky Linux), network security (Palo Alto firewalls), storage infrastructure, CI/CD pipelines (Jenkins), and infrastructure automation (Ansible). The position is critical for delivering high availability, security, and performance in modern manufacturing environments, supporting the company's AI chip production. | — | 0 |
| Senior Quality Engineer The Senior Quality Engineer will drive Manufacturing Quality across contract manufacturers and suppliers, ensuring Cerebras systems meet rigorous quality standards and scale reliably. This role is critical for New Product Introduction (NPI), establishing control plans, quality gates, and risk mitigation strategies. The engineer will lead day-to-day quality activities at the factory floor, coordinate issue containment and corrective actions, and own the quality alert process. Responsibilities also include leading NPI quality readiness, translating product requirements into quality controls, and de-risking potential failure modes. The role requires strong problem-solving skills using 8D, 5 Whys, and PFMEA, and experience integrating manufacturing and field data. The engineer will also engage with suppliers and CMs to ensure incoming material quality and build strong working relationships. | — | 0 |
| Data Center Commissioning Lead This role is for a Data Center Commissioning Lead at Cerebras, a company that builds large AI chips. The lead will oversee the end-to-end commissioning and readiness of AI data center infrastructure in colocation environments, ensuring all systems are tested, validated, and operational. Responsibilities include developing commissioning plans, coordinating with various stakeholders, overseeing testing of electrical and mechanical systems, and driving issue resolution. The role requires extensive experience in mission-critical facility commissioning and a strong understanding of data center operations. | — | 0 |
| Data Center - Network Fiber Engineer This role is for a Network & Fiber Engineer responsible for designing, deploying, and validating high-performance network and fiber infrastructure in colocation data centers. The role is critical for enabling AI-scale compute clusters by ensuring low-latency, high-throughput connectivity. It involves owning end-to-end fiber and network infrastructure deployment, designing pathways, overseeing installation, validating fiber, supporting network hardware deployment, and troubleshooting network and fiber issues. The company builds large AI chips and provides AI compute power, but this specific role focuses on the underlying network infrastructure rather than AI model development or deployment. | — | 0 |
| Data Center - Director of Procurement (Equipment and Contracts) This role is for a Director of Procurement responsible for sourcing, contracting, and supply chain execution for data center infrastructure and critical equipment to support AI infrastructure deployment. The company builds a large AI chip and provides AI compute power. | — | 0 |
| Manager - Data Center Asset tracking and Accounting Manager responsible for tracking and accounting of data center infrastructure and assets globally through their lifecycle. This role involves process optimization, asset management, lease accounting, compliance, and supporting IPO readiness. Requires strong GAAP knowledge, experience with fixed assets, and automation skills. | — | 0 |
| Senior GL Accountant The company builds AI chips and provides AI compute power, focusing on training and inference speeds for large-scale ML applications. The role is for a Senior GL Accountant responsible for general ledger accounting operations and financial reporting. | — | 0 |
| Head of IT Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is a build-and-scale role for someone who thrives when the ground is moving. Owns systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a company of our maturity needs to have in place. Will keep a highly technical, impatient engineering population unblocked while hardening the environment to standards expected of a company at our stage, including SOX-grade ITGCs and SOC 2. | — | 0 |
| System Signal Integrity & Power Integrity Engineer (SI/PI) Seeking an experienced System Signal Integrity and Power Integrity Engineer to solve complex integrity challenges in next-generation AI compute systems, focusing on high-speed interfaces, power delivery networks, and advanced packaging. | — | 0 |
| Sr. Supply Chain Program Manager This role is for a Sr. Supply Chain Program Manager at Cerebras, a company that builds large AI chips. The role focuses on optimizing the supply chain through data analysis, forecasting, risk management, and cross-functional collaboration, rather than directly building AI models or systems. | — | 0 |
| Design Validation Test - Lead/Principal Engineer This role is for a Design Validation Test (DVT) Technical Lead/Principal Engineer responsible for the end-to-end validation of complex electrical engineering boards and full systems for Cerebras, a company that builds large AI chips. The role involves defining validation strategy, building test plans and infrastructure, leading debug and root-cause analysis, and driving closure. The domain includes power delivery, high-speed I/O, and electro-mechanical systems. While the company builds AI chips and supports AI workloads, this specific role focuses on the hardware validation of the underlying infrastructure, not the AI models or software themselves. | — | 0 |