Sr. Software Engineer - Manufacturing Data & Test Infrastructure
Senior engineer at Astera Labs (NASDAQ: ALAB, semiconductor connectivity for AI infrastructure) owning internal platforms for manufacturing/test data pipelines, hardware test automation, failure analysis, and monitoring. Day-to-day is Python backend/data work on Linux, containers, cloud, and CI/CD, supporting engineering and manufacturing teams.
- Compensation
- $135K–$170K / yr
- Location
- San Jose, California, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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, including 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-based services
- Experience with monitoring and observability tools; ability to balance operations with longer-term engineering improvements
Nice to have
- MS or PhD in Electrical Engineering or Computer Engineering
- Experience in semiconductors, hardware test, manufacturing test, or a similar engineering environment
- Familiarity with production test data, yield analysis, or manufacturing diagnostics
- Experience with public cloud services and secure external data exchange workflows
- Experience with infrastructure automation and configuration management tools
- Experience integrating collaboration and issue-tracking systems into automated workflows
- Experience working with external vendors, labs, or manufacturing partners
- Interest in AI-assisted failure analysis, debugging workflows, or internal knowledge tools
- Strong interest in building durable internal platforms that scale with engineering and manufacturing needs
Full description
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at .
Astera Labs is looking for a hands-on software engineer to own and improve the internal platforms behind our manufacturing data, hardware test infrastructure, test automation, and failure analysis. This role brings together software, data, infrastructure, and hardware operations. It is central to helping engineering and manufacturing teams move quickly with reliable test data they can act on.
You will support systems that collect and organize test and manufacturing data from internal labs and manufacturing partners. You will also maintain test automation and failure-analysis tools, improve monitoring across services, and build practical tools that help engineers identify root causes faster. This role includes taking ownership of working systems already in place, making them more reliable and easier to maintain, and extending them to support new products, test flows, and manufacturing sites.
Why this role matters: Strong data and test infrastructure helps engineering teams find failures faster, improve product quality, reduce manual investigation, and scale operations without creating bottlenecks.
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, including 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.
- Make the tools engineers use to access and analyze data faster and easier to use.
Test Automation and Failure Analysis
- Maintain and improve automation systems that support hardware validation and production testing.
- Keep build, test, and release workflows manageable, repeatable, and version controlled.