About this role

Amazon is hiring a mid-level Machine Learning Engineer based in Austin, TX. The posting calls out experience with Testing, Machine Learning, Data Analytics and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role: Machine Learning Engineer
Function: machine learning
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Austin, TX
Work mode: On-site
Experience: 2+ years
Education: Bachelor's degree
Department: Corporate Operations
Posted: Jul 9, 2026

AI Summary

ASIC II engineer performing semiconductor manufacturing data analysis to optimize yield and test time. Leads test coverage improvements, scan diagnosis capabilities, and yield debug for ML chips. Requires bachelor's degree in engineering, 2 years semiconductor manufacturing experience, and 1 year in ATE testing and yield analysis.

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Job description

from Amazon careers

MULTIPLE POSITIONS AVAILABLE

Employer: ANNAPURNA LABS (U.S.) INC.
Offered Position: ASIC II
Job Location: Austin, Texas
Job Number: AMZ10016730

Position Responsibilities:

Perform detailed data analysis of semiconductor manufacturing ATE Test and System test data to optimize yield, test time, and implement optimal screening methodologies across platforms. Lead structural (Scan ATPG, MBIST) test coverage improvements with new coverage methods like SDD, Cell Aware, Bridge Aware using various UDFM models at ATE and system levels, by defining and running DOEs to characterize and evaluate these. Lead effort to bring-up and build volume scan diagnosis abilities and guide scan yield debug and failure analysis activities for future ML chips to drive faster yield ramps and entitlement yield achievement. Foster strong stakeholder relationships and drive corrective actions for yield and quality improvements through effective collaboration with test engineering, system validation, and DFT teams. Power and performance characterization to define the mission mode operating V/F model.

Position Requirements:

Bachelors degree or foreign equivalent degree in Engineering, Physical Sciences, or a related field and two years of experience in the job offered or a related occupation. Must have one year of experience in the following skill(s): (1) working with semiconductor manufacturing flows, advanced technology nodes, ATE and SLT testing, and yield analysis; and (2) experience with debug, root cause, and corrective action to resolve manufacturing or quality issues.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

40 hours / week, 8:00am-5:00pm, Salary Range $136,000/year to $184,000/year.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000

Basic Qualifications

Position Requirements:

Bachelors degree or foreign equivalent degree in Engineering, Physical Sciences, or a related field and two years of experience in the job offered or a related occupation. Must have one year of experience in the following skill(s): (1) working with semiconductor manufacturing flows, advanced technology nodes, ATE and SLT testing, and yield analysis; and (2) experience with debug, root cause, and corrective action to resolve manufacturing or quality issues.#0000

Preferred Qualifications

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.