ASIC Quality Data Analyst

Ericsson • Austin, TX

11d • Hybrid

About The Position

Ericsson Silicon is expanding its custom ASIC capabilities for 5G Advanced and 6G. The Central Engineering ASIC Quality team supports product quality and reliability throughout the ASIC lifecycle, analyzing factory failures and field returns and tracing evidence across wafer fabrication, assembly, and test. Semiconductor experience is required.

The ASIC Quality Data Analyst owns analytical work supporting factory and field failure investigations. The role analyzes and correlates production test, manufacturing, repair, and field-return data; develops tools and automated workflows; and reports findings to help engineering teams identify failure signatures and establish root causes. The analysis supports test development and screening improvements intended to reduce defective parts per million (DPPM) and improve product quality in the field.

The analyst works with internal factories, field organizations, engineering teams, semiconductor fabs, and external manufacturing partners to develop evidence and evaluate failure hypotheses. Engineering and Quality owners remain responsible for confirming root causes, making containment decisions, and implementing corrective actions.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Science, Data Analytics, or a related field.
• 3–5 years of experience in data analytics, engineering analytics, data science, or a related role in a semiconductor environment.
• Semiconductor experience.
• Hands-on experience with Python, SQL, data modeling, visualization, or comparable analytical tools.
• Practical experience using statistical methods and AI/ML techniques for data analysis or workflow automation.
• Strong analytical and problem-solving skills, including experience working with complex or inconsistent data from multiple sources.
• Ability to collaborate across engineering disciplines and communicate technical findings clearly.
• Experience in semiconductor manufacturing, factory test, product engineering, quality, reliability, failure analysis, or related hardware environments.
• Ability to identify failure modes contributing to factory defects and field escapes, and provide analytical evidence that supports test development, validation, screening improvements, and reduced outgoing DPPM.

Nice To Haves

• Familiarity with manufacturing failure data, production test results, repair records, field returns, and device traceability.
• Exposure to wafer fabrication or assembly processes.
• Experience developing and maintaining analytical tools, automated workflows, anomaly-detection models, or predictive quality methods.
• Experience with LLMs, AI agents, retrieval-augmented generation (RAG), or related AI frameworks.
• Demonstrated experience using data to support failure investigations, improve screening, or reduce recurring manufacturing or field issues.

Responsibilities

• Analyze factory production, test, repair, and field-return data to identify failure trends, recurring signatures, quality escapes, and emerging product risks.
• Collect and correlate failure evidence with internal factories and field organizations, prioritize analytical work with investigation owners, and support containment, root-cause analysis, and corrective actions.
• Collaborate with Product Engineering, Test Engineering, ASIC Design, Reliability, Quality, Manufacturing, Validation, and System Debug teams to investigate factory and field issues and validate technical findings.
• Develop and maintain tools, scripts, and analytical models to correlate factory and field data, identify recurring failure signatures, and prioritize hypotheses for engineering investigation.
• Build and maintain automated data pipelines linking factory test, manufacturing history, repair records, and field returns, with traceability to production lots, devices, and processes.
• Apply statistical analysis and AI/ML techniques to detect abnormal failure patterns, group related returns, automate data analysis, and identify quality risks earlier.
• Use production yield, screening, defect, wafer fab, and assembly/test data to investigate factory and field failures, assess quality escapes, and evaluate process or test changes.
• Develop dashboards and reporting tools to track factory failure rates, field returns, DPPM trends, recurring failure modes, investigation progress, time to diagnosis, and root-cause confirmation.
• Document analytical findings, present supporting evidence, and work with engineering and factory teams to confirm root causes and measure the effectiveness of corrective actions and screening changes.
• Reduce time to diagnose and root-cause factory and field failures by automating data preparation, correlating evidence across sources, and making relevant failure history available to investigation teams.
• Engage semiconductor fabs and external manufacturing partners as needed to trace failures across the supply chain and support corrective actions.
• Provide failure signatures and analytical evidence to Product Engineering and Test Engineering to support test development and validation, reduce outgoing DPPM, and evaluate screening effectiveness, including escapes and false rejects.

Benefits

• Competitive compensation package and opportunity for an annual bonus through a Short-Term Variable Compensation Plan.
• Choice of three medical plan options and a dental plan option, with company credits toward premiums for employees and eligible covered dependents.
• 401(k) plan with an automatic 3% company contribution and matching contributions of up to 4% when the employee contributes at least 5% of eligible pay.
• Company credits toward basic life insurance, basic accidental death and dismemberment coverage, and short-term and long-term disability coverage.
• Option to participate in the Ericsson Stock Purchase Plan.
• Minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually.
• Up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay.
• Financial wellness programs, educational assistance, matching gifts, and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level