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 www.asteralabs.com.

Position Summary

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.

Key Responsibilities

Data Analytics & Insights

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

Failure Investigation and Debug

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

Technical Development

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

Customer Focus

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

Collaboration & Communication

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

Required Qualifications

Education

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

Experience

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

Technical Skills

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.

Data Analytics Engineer

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