As Senior Counsel, you will negotiate complex commercial contracts and advise on legal matters related to AI, semiconductors, and compliance initiatives.

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

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As an AI Inference Support Engineer, you'll troubleshoot customer issues in AI inference, manage tickets, analyze performance metrics, and collaborate with engineering teams.

As a Software Engineer, you'll debug integration issues across the Cerebras AI platform, develop AI tools, automate diagnostics, and ensure system resilience through CI/CD pipelines.

The Detection and Response Engineer will enhance security by creating efficient threat detection systems, investigating incidents, and automating workflows to improve incident response effectiveness.

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.

The role involves building software and hardware infrastructure for high-speed AI inference on Cerebras' Wafer-Scale Engine, optimizing models, and developing performance-critical components.

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.

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

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.

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

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.

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 role involves developing and optimizing AI frameworks and models on Cerebras systems, requiring deep AI toolchain knowledge and extensive debugging skills.