Software Architect – Manufacturing Test
AI summary of the role
Lead a team of Full Stack Engineers to design and deliver the end-to-end software platform powering manufacturing test across Cerebras' product lifecycle, from components to complete systems.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define and own the technical architecture and long-term roadmap for the manufacturing test software platform, including test execution frameworks, UIs, 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.
What you’ll bring
- 8+ 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.
- Experience architecting software for hardware manufacturing environments, such as manufacturing test automation, MES/test data systems, or manufacturing quality control.
- Experience with cloud platforms (e.g. AWS, GCP), including infrastructure-as-code, CI/CD, and production operations.
Technologies
Python · C++ · AWS · GCP · PostgreSQL · MySQL · MongoDB · Redis · HTML · JavaScript · CI/CD · infrastructure-as-code
About Cerebras Systems
Builds wafer-scale AI processors, CS-3 systems, and cloud inference services that deliver ultra-fast training and inference without conventional multi-GPU orchestration overhead.
Growth
Source and classification
Internal deployment & tooling · Evidence for this classification:
GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As the Software Architect for Cerebras' manufacturing test platform, you will lead a team of Full Stack Engineers in designing and delivering the end-to-end software systems that power manufacturing test across every stage of our product lifecycle — from individual components to complete Cerebras systems. The platform spans both cloud infrastructure and physical client-server infrastructure deployed across our manufacturing facilities, and you will own the technical vision, architecture, and roadmap across the full stack. Working closely with hardware design, test engineering, operations, data analytics, and reliability teams, you will
More from the job description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As the Software Architect for Cerebras' manufacturing test platform, you will lead a team of Full Stack Engineers in designing and delivering the end-to-end software systems that power manufacturing test across every stage of our product lifecy [... source excerpt omitted ...] l components to complete Cerebras systems. The platform spans both cloud infrastructure and physical client-server infrastructure deployed across our manufacturing facilities, and you will own the technical vision, architecture, and roadmap across the full stack. Working closely with hardware design, test engineering, operations, data analytics, and reliability teams, you will translate complex, cross-functional requirements into a cohesive software architecture that drives manufacturing efficiency, quality, and scale. Responsibilities Define and own the technical architecture and long-term roadmap for the manufacturing test software platform, including test execution framework [... source excerpt omitted ...] cumentation, 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 c
Employer postings · Data from · Sources