Collaborate on software solutions for AI systems, focusing on performance and usability within an integrated architecture. Gain hands-on experience with advanced hardware and ML frameworks.

Manage corporate and securities matters, oversee SEC reporting, advise on governance and compliance, and support strategic transactions for growth.

The Senior Technical Program Manager is responsible for site and data center operations, leading cross-functional programs, ensuring operational readiness, and managing metrics and KPIs for AI infrastructure.

The Kernel Optimization Engineer will develop high-performance software solutions by optimizing deep learning operations and designing new machine learning kernels for the Cerebras hardware system.

The Manufacturing Bring-up Engineer oversees system testing and validation, collaborating with cross-functional teams to automate workflows and enhance manufacturing efficiencies.

The Director of Compliance will structure and administer international trade and contract compliance programs, ensuring adherence to regulations and providing counsel to leadership.

Support system-level bring-up processes in manufacturing, collaborate on automation and validate system performance, resolve technical issues and track metrics for continuous improvement.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Lead a team to improve the reliability of advanced compute clusters and manage failure analysis and debugging processes.

Design and implement compiler features for CSL language, focusing on semantic analysis and optimizing code generation for our wafer-scale engine.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

As an ML Quality Engineer at Cerebras, you will ensure software quality across ML workloads by implementing testing methodologies, debugging issues, and automating workflows.

As an Engineering Manager for Inference ML Runtime, you will lead a team to design, scale, and optimize AI inference systems on Cerebras hardware, ensuring high performance and overseeing execution of ML engineering initiatives.

The role involves innovating tests for AI infrastructure, automating test strategies, ensuring high reliability and security for large-scale deployments, and understanding distributed ML systems. Candidates must have strong coding and debugging skills in a team focusing on AI technology.

The Senior Hardware Technical Program Manager will lead program schedules for engineering improvements, collaborating across teams for hardware integration and deployment in AI supercomputers.

Lead a team in developing and scaling distributed inference systems for AI on Cerebras' hardware, ensuring reliability and performance while mentoring engineers.

Lead brand expression and integrated go-to-market programs, unifying creative, product, growth, and communications to deliver cohesive campaigns that drive awareness, engagement, and measurable pipeline growth while building and managing an in-house creative and agency ecosystem.

Design, build, and maintain a full-stack manufacturing test platform: develop test frameworks, intuitive UIs, distributed data storage to sync test data across facilities, and interactive reports. Collaborate with hardware, data, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability across the product lifecycle.