ASIC Quality Data Analyst

Ericsson; Austin (TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with match

Paid time off

Job summary

Ericsson Silicon in Austin, Texas seeks an ASIC Quality Data Analyst to own analytical work across factory and field failure investigations. You will correlate data from wafer fab, assembly, test, and field returns to identify failure patterns and quantify quality risks.

This role requires semiconductor experience and strong Python/SQL skills. You will develop automated pipelines, dashboards, and models to support containment, root-cause analysis, and corrective actions, collaborating with

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, Data Analytics, or related field.
• 3–5 years of data analytics or data science experience in a semiconductor environment.
• Hands-on experience with Python, SQL, data modeling, visualization, or comparable analytical tools.
• Statistical methods and AI/ML techniques for data analysis or workflow automation.
• Strong analytical and problem-solving skills; able to work with complex data from multiple sources.
• Ability to collaborate across engineering disciplines and communicate technical findings.

Responsibilities

• Own analytical work supporting factory and field failure investigations, including data correlation and reporting.
• Develop evidence and evaluate failure hypotheses with internal factories and engineering teams.
• Create automated data pipelines linking factory test, production history, and field returns.
• Apply AI/ML to detect abnormal failure patterns and prioritize investigation work.
• Build dashboards tracking failure rates, DPPM trends, and root-cause progress.
• Document findings and support containment, root-cause, and corrective actions.

Skills

Python

SQL

Data modeling

Visualization

AI/ML techniques

Statistical analysis

Collaboration

Semiconductor experience

Education

Bachelor's degree in Engineering, CS, DS or DA

Tools

LLMs

AI frameworks

Job description

ASIC Quality Data Analyst

Austin, Texas

Hybrid, on-site work schedule

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. The analysis starts with factory failures and field returns and follows the evidence wherever it leads, including wafer fabrication, assembly, and test. Semiconductor experience is required for this opening.

What you will do:

• You will own the analytical work supporting factory and field failure investigations, including data correlation, analytical tools, automated workflows, and reporting.
• You will work with internal factories, field organizations, Product Engineering, Test Engineering, Quality, and other engineering teams to develop evidence and evaluate failure hypotheses.
• Engineering and Quality owners remain responsible for confirming root causes, making containment decisions, and implementing corrective actions.
• You will also engage semiconductor fabs and external manufacturing partners as needed to trace failures across the supply chain and support corrective actions.
• Analyze factory production, test, repair, and field-return data to identify failure trends, recurring signatures, quality escapes, and emerging product risks.
• Work directly with internal factories and field organizations to collect and correlate failure evidence, 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 that 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 the traceability needed to follow failures back 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 the effectiveness of process or test changes.
• Develop dashboards and reporting tools to track factory failure rates, field returns, DPPM trends, recurring failure modes, and investigation progress, including 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 the time needed 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.

Join our Team

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at [e-mail].

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

What you will bring:

• The ability to Identify failure modes contributing to factory defects and field escapes is critical in this role. Your experience providing 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 is critical.
• 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.
• 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.
• Familiarity with manufacturing failure data, production test results, repair records, field returns, and device traceability; exposure to wafer fabrication or assembly processes is beneficial.
• 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.

Primary country and city: USA || Austin, Texas

Job details: Developer

Compensation and Benefits at Ericsson

• Your Pay: The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.
• Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
• Your Health: Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.
• Your Financial Security: We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.
• Your Time: Your work-life balance is important to us. New employees are provided a 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. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
• Additional Benefits: Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.