Remote Software Test Engineer — Vision & ML Automation

jobspromotor

Cupertino, Northern (CA, KY)

Hybrid

USD 28,000 - 41,000

Full time

14 days+

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Benefits offered by this job

Restaurant d'entreprise

Job summary

Apple is seeking a Software Test Engineer in Cupertino, CA, focusing on computer vision software testing for video and ML-based features. The role emphasizes developing test plans, automating tests, and ensuring high-quality releases through strong collaboration with image processing and software teams.

You will work with Python-based test automation and contribute to continuous integration pipelines, while communicating with senior engineers to refine test strategies for advanced CV algorithms.

Qualifications

  • 3-4 years of experience in a Product Test Designer role.
  • Strong knowledge of software testing techniques and practices.
  • Excellent knowledge of QE automation design, processes, and tools.
  • Ability to triage issues, prioritize, and propose resolutions.
  • Experience with Python or similar language for test automation.

Responsibilities

  • Develop test plans, design experiments, and build test scripts/tools.
  • Collaborate with software engineers to troubleshoot issues.
  • Support CI tools and automate testing and release processes.
  • Maintain the Continuous Integration framework and configurations.
  • Communicate with senior architects to grow skills in CV algorithms.

Skills

Python
Test automation
Cross-functional collaboration
Problem solving

Education

Graduate degree

Tools

QE automation frameworks

Job description

Apple is seeking a Software Test Engineer in Cupertino, CA, focusing on computer vision software testing for video and ML-based features. The role emphasizes developing test plans, automating tests, and ensuring high-quality releases through strong collaboration with image processing and software teams.

You will work with Python-based test automation and contribute to continuous integration pipelines, while communicating with senior engineers to refine test strategies for advanced CV algorithms.

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