The opportunity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
What you'll do
Define and own the technical architecture and long-term roadmap for the: manufacturing test software platform, including test execution frameworks, user interfaces, distributed data storage, cloud services, on-site client-server systems, and reporting.
Lead, mentor, and grow a team of Full Stack Engineers, setting technical: standards for code quality, design patterns, testing, documentation, and operational excellence.
Partner with hardware engineers, test developers, data engineers, operations,: and reliability teams to translate business and engineering requirements into clear, scalable software designs.
Drive key architectural decisions across the stack: from front-end frameworks and API design to database schemas, distributed data synchronization, cloud deployments, and on-prem infrastructure across multiple manufacturing facilities.
Conduct design and code reviews, guide technical trade-offs, and ensure the: team is building secure, reliable, and maintainable systems.
Collaborate with engineering leadership on planning, prioritization, and: delivery commitments, and represent the platform in cross-functional technical discussions.
What they're looking for
- Identify opportunities to improve manufacturing efficiency, quality, and: scalability through better tooling, automation, data infrastructure, and platform capabilities.
- Bachelor's or Master's degree in computer science, computer engineering, or a related field.
- + years of professional software engineering experience, including 2+ years: in a technical leadership, staff engineer, or architect role.
- Demonstrated experience designing and delivering complex, full-stack software: systems at scale, including distributed systems and data-intensive applications.
