AI Inference Core Software Integration Engineer
Cerebras Systems, Inc.Visit Cerebras Systems, Inc. website
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
Sunnyvale, California, United States
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
About the Role
You will turn early inference concepts and prototypes into validated platform capabilities. You will integrate software across AI frameworks, runtimes, compilers, kernels, distributed systems, infrastructure, and hardware; debug difficult failures; manage technical risks; and improve repeatable integration practices.
Requirements
- Software engineering fundamentals
- Programming in Python, C++, Go, or a similar language
- Experience building or debugging software systems
- Technical problem solving
- Cross-component systems understanding
- Code reading
- Clear communication
- Cross-disciplinary collaboration
Responsibilities
- Turn new inference ideas and features into integrated, working platform capabilities
- Take high-value projects from incomplete ideas or prototypes to validated capabilities
- Integrate and validate components across AI frameworks, runtimes, compilers, kernels, distributed systems, infrastructure, and hardware
- Drive complex cross-component projects through integration, validation, and release readiness
- Collaborate with software and hardware engineers on co-design trade-offs and system-level issues
- Investigate and debug failures across AI workloads, distributed software, infrastructure, and hardware boundaries
- Identify bottlenecks, failure modes, edge cases, and integration gaps
- Capture lessons from urgent work to improve future integrations
- Help teammates resolve difficult problems and make decisions