The Senior Payroll Specialist executes payroll processes, ensuring accuracy and timeliness, provides employee support, and handles payroll audits and adjustments.

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.

Manage and curate the AI models portfolio, collaborate on model launches, evaluate model quality, and drive product marketing initiatives.

The Senior AP Specialist ensures accurate management of the company's accounts payable operations, resolves invoice discrepancies, supports month-end close activities, and improves AP processes.

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

The role involves developing an embedded test framework, creating test automation, improving test coverage, and collaborating across teams to raise software quality.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

Design and operate the Cerebras Inference Platform by developing backend services and APIs, improving observability, and mentoring engineers.

Assist in designing and implementing low-level compiler components for Cerebras' architecture, focusing on LLVM toolchain and performance optimization.

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

Negotiate commercial transactions, support procurement and engineering, ensuring legal integrity in contracts related to AI and cloud technologies.

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.

The Manager of AI Infrastructure Operations leads the reliability and performance of AI compute infrastructure, manages escalations, and drives reliability initiatives.

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.

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.

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.

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

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

The Chief of Staff at Cerebras Systems will enhance operational efficiency, manage high-level projects, and serve as a communication liaison between the CEO and stakeholders, requiring strong leadership, analytical skills, and relevant industry experience.

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