The AI Infrastructure Tools Engineer will design, build, and maintain tools for AI infrastructure, ensuring high service availability and collaborating with various teams to enhance efficiency and security.

Cerebras Systems seeks a skilled Physical Design Engineer. Responsibilities include physical design tasks, integration with RTL teams, optimizing power/performance/area, and using verification methodologies and tools.

The role involves collaborating with RTL designers to ensure quality silicon design, developing test plans, creating verification methodologies, and debugging test failures in AI chip design.

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 QA Engineer will develop test plans, automate testing methodologies, maintain quality in cloud-based services, and collaborate with teams to ensure software reliability.

Join Cerebras Systems to optimize and develop frontend compiler infrastructure for PyTorch models on their unique wafer-scale AI platform, focusing on model representation and optimization.

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

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 a team of engineers to develop high-performance software solutions for AI and HPC workloads while mentoring team members and overseeing technical direction.

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.

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.

Lead physical design integration at Cerebras, focusing on high-speed designs, physical verification, and collaborating with RTL teams for optimization.

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