Cerebras
Semiconductors · Wafer-scale AI chip
- HQ
- Sunnyvale, US
- Founded
- 2016
- Website
- cerebras.net
Semiconductors · Wafer-scale AI chip
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.
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 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 / 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 |
| — |
| 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 |
| 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 |
| 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 |
| 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 |
| Electrical Engineer Electrical Engineer to lead printed circuit board design for Cerebras' AI chip, focusing on specification, schematic design, component selection, layout, and lab bring-up. Requires experience in digital circuits, power delivery, and high-speed signal integrity, with proficiency in Python for test scripting. | — | 0 |
| 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), a large AI chip. The engineer will develop and debug production processes, refine AI systems across hardware/software constraints, enhance infrastructure for workload testing, and work with cross-functional teams to optimize performance. The role involves significant hardware and software co-design, testing, and automation. | — | 0 |
| Billings and Collections Specialist This role is for a Senior Billing and Collections Analyst at Cerebras, a company that builds large AI chips. The analyst will manage the full order-to-invoice cycle, ensuring accurate and timely billing for hardware, professional services, and compute usage. Responsibilities include month-end close activities, translating contract terms into invoices in NetSuite, managing adjustments, and supporting collections by resolving billing inquiries and issues. The role requires strong attention to detail, problem-solving skills, and cross-functional collaboration to improve billing accuracy and scalability. | — | 0 |
| Senior Cost Accounting Manager Senior Cost Accounting Manager role at Cerebras, a company that builds AI chips. The role focuses on cost capitalization, inventory accounting, manufacturing analysis, and audit support within a high-volume manufacturing environment. Requires CPA/CMA and 7+ years of cost accounting experience. | — | 0 |
| Director of Costing Accounting The Director of Cost Accounting will lead all cost accounting, inventory, and cost-related financial activities across manufacturing, infrastructure, and AI compute operations. This role is critical to ensuring accurate costing, capitalized asset accounting, and cost transparency across both training and inference workloads. | — | 0 |
| Senior Mechanical Engineer Senior 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, providing testing support, conducting inspections, and collaborating with cross-functional teams. | — | 0 |
| Manufacturing Test Development Engineer This role focuses on developing test automation software and scripts for Cerebras' AI hardware products, from PCBA to system level. It involves working with manufacturing and quality teams, contract manufacturers, and developing GUIs and web interfaces for test data reporting and traceability. The role requires strong programming skills in C/C++, Python, and knowledge of databases and scripting languages. | — | 0 |
| Design Verification Engineer- Tile The Design Verification Engineer will work on Cerebras' AI chip, ensuring the quality of the silicon design. This involves developing verification strategies, creating testbenches, managing regressions, and debugging complex issues across simulation and silicon bring-up. The role requires strong debugging, SystemVerilog, UVM, and scripting skills, with a focus on ensuring the hardware meets the demands of AI workloads. | — | 0 |
| 3D Physical Design Engineer The role is for a 3D Physical Design Engineer focused on designing and analyzing 3D integrated AI chips. Responsibilities include traditional ASIC/SoC physical design, packaging, power, clock, and cooling analysis, working with architecture and RTL teams on novel 3D integration concepts. Requires extensive experience in physical design, verification, and 3D physical design specifics. | — | 0 |
| AI Engineer, Model Quality and Performance | — | — |