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 |
|---|---|---|
| Manufacturing Bring-up Engineer L2 Cerebras is seeking a Manufacturing Bring-up Engineer to support system level bring-up, configuration, testing, and validation in their manufacturing pipeline. The role involves cross-functional collaboration, troubleshooting, process automation, and tracking critical metrics to ensure efficient product delivery from manufacturing to the customer. While the company builds AI hardware and supports AI workloads, this specific role focuses on the manufacturing and operational aspects of the system, not direct AI model development or deployment. | — | 0 |
| Manufacturing Bring-up Engineer L2 Cerebras Systems is seeking a Manufacturing Bring-up Engineer to support system-level bring-up, configuration, testing, and validation in the manufacturing pipeline for their large AI chip. The role involves cross-functional collaboration, troubleshooting, process design, and automation to ensure efficient and scalable manufacturing, ultimately delivering AI compute solutions to customers. | — | 0 |
| Advanced Packaging Technologist & Lead The role is for an Advanced Packaging Technologist & Lead responsible for developing and deploying next-generation semiconductor packaging technologies for AI chips. This includes designing 2.5D/3D stacking, heterogeneous integration, and optimizing bonding approaches like Chip-on-Wafer and Wafer-to-Wafer. The role also involves material selection, process technology development, and ensuring reliability for high-performance compute and AI applications. | — | 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 |
| Manufacturing Test Manager Cerebras is seeking an experienced Manufacturing Test Engineering Lead to oversee the development, implementation, and maintenance of test strategies, processes, and systems for their AI chip products. This role involves leading a team of engineers, collaborating with cross-functional teams, and ensuring product quality and reliability in a manufacturing environment. | — | 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 |
| Senior IC Design Engineer – IO Signal Integrity & Power Delivery This role focuses on the physical design and signal integrity of custom IO interfaces for Cerebras' AI chip, which is designed to accelerate AI training and inference. The engineer will be responsible for ensuring the performance, power, and reliability of these interfaces across various levels of integration (die, package, system). | — | 0 |
| AI Engineer, Model Quality and Performance | — | — |