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AI supercomputers and fast inference platform for enterprises

Founder and CEO

Chief Financial Officer

Cisco & Cerebras Orders Up, Stocks Down

Callosum raises $100M seed round to build heterogeneous AI infrastructure

Callosum Raises $100 Million in Seed Round

Callosum raises $100M led by Atomico in one of Europe’s largest seed rounds

Staff Software Engineer, Inference Platform

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. They are seeking a Staff Engineer to lead and contribute to projects on their Inference Platform team, focusing on orchestration and connecting cloud components with machine learning services.

Embedded System Software Engineer

Cerebras Systems builds large-scale AI processors and software platforms that accelerate AI training and inference. The Embedded System Software Engineer will develop system-level administrative software, Linux BSP components, and hardware monitoring solutions for the Cerebras Wafer Scale Engine, while collaborating with hardware, ASIC, datacenter operations, and cross-functional engineering teams to improve system reliability and observability.

Inventory Control Analyst

Cerebras Systems builds advanced AI chips and platforms designed to accelerate AI training and inference. The Inventory Analyst improves inventory accuracy across warehouses, manufacturing sites, contract manufacturers, 3PLs, and partner locations by managing reporting, analyzing discrepancies, supporting cycle counts, reconciling records, and driving corrective actions. The role also maintains audit-ready controls and develops scalable inventory processes in a fast-changing manufacturing and supply chain environment.

ML Performance Benchmarking Engineer

Cerebras Systems builds the world's largest AI chip, revolutionizing AI applications with unprecedented training and inference speeds. The ML Performance Benchmarking Engineer will play a crucial role in enhancing AI inference performance by developing systems for performance analysis and benchmarking.

Staff Design Verification Engineer

Cerebras builds large-scale AI chips and systems that accelerate AI training and inference. The Staff Design Verification Engineer will develop verification strategies, reusable environments, tests, and coverage plans, while debugging complex issues and collaborating across architecture, design, software, and validation teams to ensure high-quality silicon.

CoDesign & NextGen Performance Engineer

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. The role focuses on characterizing, analyzing, and optimizing the performance of AI models on Cerebras’ hardware, working across the hardware and software stack to improve computational efficiency.

CoDesign & NextGen - New College Grad

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. The role involves working at the interface of software and hardware, focusing on high performance kernel design and system robustness.

Cloud Infrastructure Engineer

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. They are seeking a Cloud Infrastructure Engineer to design and operate secure cloud infrastructure and identity platforms, while ensuring the implementation of security controls and automation solutions.

Staff Software Engineer, GPU Inference

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. They are hiring a Staff Software Engineer to productionize and optimize the GPU serving stack, focusing on reliability, performance, and operational practices for their GPU infrastructure.

Senior Quality Assurance Engineer

Cerebras Systems builds advanced AI chip and computing infrastructure that enables high-speed training and inference for AI applications. The Senior Quality Assurance Engineer will design and execute automated, functional, integration, regression, and performance testing for cloud-based AI/ML inference services, while validating APIs, data pipelines, system performance, and distributed infrastructure. The role also involves defect triage, root cause analysis, test documentation, and collaboration to support high-quality product releases.