Sr. Software Engineer - Manufacturing Data & Test Infrastructure
Asteralabs · San Jose, California, United States
About this role
**Astera Labs — Sr. Software Engineer (Manufacturing Data & Test Infrastructure)** Astera Labs provides rack-scale AI infrastructure through purpose-built connectivity solutions. This role is a hands-on position focused on owning and improving the internal platforms behind manufacturing data, hardware test infrastructure, test automation, and failure analysis—helping engineering and manufacturing teams move quickly with reliable test data. --- ## What You’ll Do ### Manufacturing and Test Data Platforms - Build, own, and improve data pipelines that collect, standardize, and organize manufacturing and test data. - Integrate data from multiple internal and external sources (lab test systems and manufacturing partners). - Improve data quality, pipeline reliability, handling of changing formats, and visibility into pipeline health. - Add support for new products, data sources, and manufacturing partners with minimal manual effort. - Build tools that help engineers access and analyze data faster and more easily. ### Test Automation and Failure Analysis - Maintain and improve automation systems supporting hardware validation and production testing. - Keep build, test, and release workflows manageable, repeatable, and version controlled. - Operate and improve automated tools that process results, classify failures, and route issues to the right teams. - Reduce repetitive debugging through better classification, dashboards, and internal tooling. ### Infrastructure, Reliability, and Monitoring - Operate services on Linux-based infrastructure using containers and cloud-hosted systems. - Support core platform services such as storage, scheduled jobs, and deployment automation. - Build and improve monitoring, alerting, and dashboards to detect issues early. - Strengthen day-to-day operations with runbooks, alert tuning, and safer rollout practices. ### Internal Tools and Cross-Functional Support - Support and extend shared telemetry and logging systems. - Build practical tools to help engineers explore logs, look up records, and diagnose failures faster. - Help build automated or AI-assisted debugging tools where they provide clear value. - Serve as a technical point of contact for issues involving manufacturing data and test platforms. - Work with hardware, firmware, test, IT, and external partners to resolve system and data issues. --- ## What Success Looks Like - New manufacturing and test data sources are added quickly and reliably. - Engineers can access trusted data without relying on specialized support. - Test automation and failure-analysis systems are stable, understandable, and maintainable. - Operational issues are detected early through effective dashboards and alerts. - Documentation and tooling support shared ownership across the team. --- ## Basic Qualifications - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - 3+ years building and operating backend systems, data systems, developer infrastructure, or internal platforms. - Strong Python skills (production services, scripts, libraries, or automation tools). - Experience with large-scale data processing and structured data pipelines. - Practical understanding of changing data formats, data quality challenges, and production data collection. - Experience with relational, analytical, or streaming data systems. - Experience supporting CI/CD systems, Git-based workflows, Linux environments, and containerized or cloud-bas
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