Cerebras jobs

This Billings and Collections Specialist role owns the order-to-invoice cycle for Cerebras' hardware, professional services, and compute usage billing. Responsibilities include month-end billing close, NetSuite invoice translation, billing adjustments/credits, collections support, and process automation. It requires 4-7 years of progressive billing/finance operations experience, strong NetSuite and Excel skills, and understanding of multi-revenue-stream billing (hardware, services, consumption).

AI Infrastructure Operations Engineer (SiteOps) entry-level role at Cerebras focused on deployment, bring-up, monitoring, and first-line troubleshooting of AI infrastructure in datacenters. Responsibilities include executing hardware bring-up procedures, monitoring telemetry/alerts, performing first-line troubleshooting, incident support, and learning cluster architecture. Requires Bachelor's degree in engineering and 0-3 years in hardware operations, systems engineering, or datacenter environments; basic familiarity with server hardware, networking, and Linux. Role explicitly includes no people management or architecture ownership.

New Graduate Software Engineer role at Cerebras in Sunnyvale, CA hybrid office. The position targets recently graduated or 2026-graduating CS/CE students for a full-time placement on teams across hardware, compilers, distributed systems, or ML frameworks. Requires recent degree and strong problem-solving skills; C++ experience preferred. This is an entry-level IC role on a fully integrated AI infrastructure platform.

Software Engineer Internship at Cerebras, a 12-week to 12-month role for students to collaborate on real-world engineering challenges across the full software stack. Requires enrollment in a CS/CE degree program, problem-solving skills, and proficiency in at least one programming language (C++ preferred). Hybrid on-site in Sunnyvale, CA.

Senior ML Software Engineer on ML Integration and Quality team, validating and debugging Cerebras AI platform across distributed systems. Requires ~5 years systems engineering, Python/C++/Go; hybrid schedule with mandatory 3 days/week on-site in Sunnyvale, CA or Toronto, ON.

Staff Kernel Optimization Engineer position at Cerebras (Remote) focused on developing high-performance ML and HPC kernels for custom Wafer-Scale Engine (WSE) processors. Responsibilities include designing ML/linear algebra kernel specifications, developing optimized low-level assembly and CSL (Cerebras' C-like domain-specific language) routines, performance modeling and analysis, and kernel library testing and validation. Requires Bachelor's or higher in CS/CE/Mathematics, understanding of hardware architecture, C++ and Python proficiency, and library/API development expertise. Preferred: kernel development/testing experience, parallel algorithms, accelerator programming (GPUs/FPGAs), and ML framework familiarity.

This Software Engineer Internship at Cerebras offers 16-week to 16-month placements for university students studying Computer Science or related disciplines. Interns collaborate on real-world challenges across the software stack, including hardware interfaces, compilers, distributed systems, and ML frameworks. The role requires strong problem-solving skills, proficiency in at least one programming language (C++ is an asset), and is based in Toronto as a hybrid role for Spring, Fall, or Winter terms.

ML Systems Performance Engineer role on Cerebras' inference performance team focused on hardware-software intersection for model inference speed and throughput. Responsibilities include building performance models, optimizing kernel microcode and compiler algorithms, debugging runtime performance, and developing performance visualization and diagnostic tooling. Requires Bachelor's/Master's/PhD in EE or CS, strong computer architecture background, 3+ years in computer architecture/CPU/GPU performance, and proficiency in C++ and Python. Located at US and Canada offices.

Product Manager, AI Models at Cerebras, owning the strategic model portfolio and product for inference. Responsibilities include model roadmap decisions, partnerships with AI labs, quality standards, and launches. Requires 5+ years as PM (at Senior+ level), 5+ years technical experience (SWE/ML researcher/solutions engineer), and deep knowledge of open-source AI ecosystem. Located in Sunnyvale HQ; salary and equity not specified.

An Applied AI/ML Scientist role in the FieldML team focused on developing and customizing large language models for customer use cases on Cerebras infrastructure. Responsibilities include customer discovery, scoping feasibility, training custom models (pre-training, fine-tuning, RLHF/DPO), building agentic systems, and serving as an AI/ML expert to customers. Requires deep ML/training expertise, data curation knowledge, and model optimization experience. This is fundamentally a machine learning research and customization role, not core software engineering. Position is based in UAE, outside the US.

Distributed Software Engineer position at Cerebras for the Cluster engineering team, responsible for software across cluster operations. Key responsibilities include automating bare-metal configuration (networking, OS, application deployment), building cluster upgrade/downgrade/patching workflows, designing orchestration and scheduling systems for multi-user resource allocation, and building monitoring, failure detection, and high-availability systems. Requires strong system design and architecture skills, distributed cluster development experience, deep Kubernetes/Prometheus/Grafana knowledge, and proficiency in Go, Python, and bash. Role emphasizes cluster management at scale and operational reliability.

Engineering Manager role leading a Kernel Reliability team at Cerebras, responsible for technical leadership, team management, and improving system reliability across distributed compute clusters. Requires 6+ years software engineering with 3+ years leading teams in reliability/debug; expertise in distributed systems, debugging tools, and architecture. Located in US and Canada offices (hybrid/on-site); base salary and equity not specified.

Senior Mechanical Engineer role focused on leading the design of mechanical systems for Cerebras' next-generation wafer-scale engine, with responsibility for electro-mechanical system design from concept to production. Responsibilities include structural analysis, compliance validation, manufacturability assessment, design reviews, thermal collaboration, and vendor coordination. Requires 10+ years mechanical design experience with expertise in Solidworks, PLM systems, FEA, tolerance analysis, and advanced fabrication processes. Based on-site in Sunnyvale; salary range $190k–$230k.

Manufacturing Test Development Engineer role focused on developing test automation solutions for Cerebras products from PCBA to system level. Responsibilities include developing test automation software/scripts, GUI solutions, web-based test data reporting portals on AWS/MySQL, infrastructure setup at manufacturing sites, and collaboration with contract manufacturers. Requires 5+ years in test automation and test development with proficiency in C/C++, Python, JavaScript, MySQL, and Linux/Windows environments. Based on-site in Sunnyvale; salary range $170k–$210k.