The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

As a DevOps Engineer, you will design and maintain an automation framework, manage CI/CD pipelines, and integrate AI solutions with back-end systems while ensuring application scalability and performance.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

The Principal Customer Success Engineer ensures the success of strategic customers by guiding onboarding, integration, and optimization of Cerebras' AI solutions while mentoring the Customer Success team.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

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

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Design and implement low-level components in a compiler toolchain, focusing on LLVM for optimizing code generation for a large AI chip architecture.

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

The Principal Technical Program Manager will oversee AI inference capacity planning, manage data center operations, and coordinate cross-functional collaboration.

Design and develop core backend services and APIs for the Cerebras Inference Platform, ensuring ease-of-use, robustness, and reliable performance for ML workloads.

The role involves designing and developing open-source libraries and demo applications that showcase Cerebras' AI Inference capabilities, while contributing to engineering blogs and collaborating with partner teams.

The IT Support Specialist provides technical support for users, manages onboarding/offboarding, maintains user accounts, administers Microsoft 365, and improves IT processes. Strong troubleshooting and customer service skills are essential.