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

As a 3D Physical Design Engineer, you'll design and analyze 3D integrated products, focusing on ASIC/SoC design, power, clock, and cooling analysis with an emphasis on physical design methodology.

The VP, Commercial & Privacy will lead negotiations of significant agreements, manage global sales support, oversee privacy compliance, and mentor the legal team.

Join the physical design team to synthesize, place, route, and integrate high-speed designs, collaborating with the RTL team for seamless implementation.

Lead the development and implementation of test programs for wafer-scale processors, ensuring silicon defect characterization, fault isolation, and optimizing test methodologies.

Design Verification Engineer responsible for ensuring high-quality designs for silicon, developing verification strategies, and collaborating with cross-functional teams to enhance methodologies.

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 Lead Data Architect for Quality & Reliability will design and implement the data architecture for product health, reliability performance, and warranty economics, ensuring data unification across multiple teams at Cerebras Systems.

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.

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

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

The Contracts & Compliance Manager will negotiate contracts, manage compliance programs, and improve legal operations at Cerebras Systems, supporting AI 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.

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

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

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

Drive reliability excellence across system designs, embed reliability requirements, execute life tests, apply physics-of-failure models, simulate electronics reliability, and champion a reliability culture.

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.

Manage interdisciplinary teams to execute technical projects, coordinate with multiple departments, and drive product launch from planning to testing.