Software Integrity & Test Engineer for Efficiency

Apple Inc.

Cupertino (CA)

On-site

USD 103,000 - 201,000

Full time

4 days ago
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Job summary

Apple Inc. in Cupertino, California, is seeking a Software Integrity Engineer in Test Engineering & Engineering Efficiency to screen and triage bug reports, analyze logs, and prioritize user feedback across Apple platforms.

You will identify automation opportunities and build tools to improve triaging, leveraging ML methods to accelerate feature delivery. A strong emphasis on collaboration with software engineers and QA teams is essential.

Qualifications

  • One year of experience diagnosing and triaging software issues.
  • Bachelor's degree in computer science or related field; 2 years of relevant professional experience may substitute for the educational requirement.
  • Excellent verbal and written communication skills.
  • Strong analytical and problem-solving skills.
  • Experience with using Agentic ML methods for software development and data processing, including developing evaluation methods for assessment of results.
  • Experience with bug/issue ticketing systems is a plus.

Responsibilities

  • Screen and triage incoming bug reports, analyze logs, and prioritize user feedback.
  • Analyze diagnostic logs and internal analytics to identify trends and opportunities for automation.
  • Design, build, maintain, evaluate and use automation tools to improve triaging efficiency.
  • Use modern ML methods to accelerate delivery of new features/systems for triaging and ensure existing processes do not regress.

Skills

Triaging software issues
Communication skills
Analytical thinking

Education

Bachelor's degree in computer science

Job description

Apple Inc. in Cupertino, California, is seeking a Software Integrity Engineer in Test Engineering & Engineering Efficiency to screen and triage bug reports, analyze logs, and prioritize user feedback across Apple platforms.

You will identify automation opportunities and build tools to improve triaging, leveraging ML methods to accelerate feature delivery. A strong emphasis on collaboration with software engineers and QA teams is essential.

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