Data Analytics Engineer

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

We are seeking a Data Analytics Engineer with hands‑on semiconductor test development experience to join our team. The ideal candidate will bridge the gap between test engineering, diagnostics, and data science, leveraging their semiconductor testing background to extract actionable insights from complex test data to optimize test processes, develop diagnostic tools/tests, and drive quality improvement initiatives.

• Analyze large‑scale semiconductor test data from ATE (Automatic Test Equipment) systems
• Develop predictive models for yield prediction, failure analysis, and reducing quality excursions
• Create dashboards and visualization tools for quality monitoring
• Identify trends, patterns, and anomalies in production test data to improve product reliability

• Analyze logs, test results, and system behavior to identify root cause or failure scope
• Reproduce issues in the lab environment and provide detailed debug information
• Work with hardware, firmware, and ASIC teams to drive resolution

• Create machine learning models for defect classification and outlier detection
• Automate reporting and data quality monitoring systems
• Use AI methodologies to enable advanced diagnostics of Astera silicon products
• Develop diagnostic tools and methods to enable faster root cause analysis and automation

• Provide customer support on device‑related inquiries
• Generate reports relating to internal and external customer requests
• Work with customer quality group to support internal and external customers

• Partner with test, product, and reliability engineering teams
• Present findings and recommendations to technical and non‑technical stakeholders
• Document analytical methodologies and maintain code repositories
• Mentor junior team members on analytics best practices

• Bachelor's degree in Electrical Engineering, Computer Engineering, Data Science, Statistics, or related field
• Master's degree preferred

• 3-5 years of experience in semiconductor test engineering or test development
• 3+ years of hands‑on data analytics experience
• Knowledge of ATE platforms (Teradyne, Advantest, Credence, etc.)
• Familiarity with semiconductor manufacturing processes and test methodologies

• Programming: Proficiency in Python, R, or similar languages for data analysis
• Data Tools: SQL, pandas, numpy, scikit‑learn
• Visualization: Tableau, Power BI, matplotlib, plotly, or similar tools
• Test Systems: Experience with test data formats (STDF), test executive software

The base salary range is $160,000 USD - $195,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non‑binary people, veterans, parents, and individuals with disabilities.