drjobs Automation Engineer - Siri

Automation Engineer - Siri

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

You will be responsible for designing crafting automating and integrating this test plan into a continuous integration environment. Day to day tasks will involve hands-on adversarial automated testing of iOS iPadOS watchOS tvOS and HomePodOS. Additionally you will use robotics break code and improve the overall quality of iOS for our customers. The ideal candidate for this position is flexible outgoing and ready to make an immediate impact on the team with new insights and a fresh perspective on QA processes automation and execution. You will tap into your expertise to bring up new and exciting platforms provide invaluable feedback and make contributions to push our use cases and work youre doing to the next level. You will be pursuing a multi-functional role talking to many different teams within SWE and AIML to further improve the quality of our products and keep a mindful eye on how we can make them even greater.


  • 8 years of experience working as an Automation Engineer in embedded systems
  • Strong experience in Python scripting including development of test frameworks automated tests for embedded systems
  • Strong experience designing developing and testing software for embedded devices including familiarity with wireless technologies
  • Solid understanding of the software development lifecycle (SDLC) using Git for version control and adhering to SQA methodologies
  • Experience in identifying performance KPIs for evaluation creating test setups to capture metrics and creating dashboards for data visualization
  • Bachelors or higher degree in Computer Science/Electrical Engineering


  • Ability to quickly prototype ideas / solutions perform critical analysis and use creative approaches for solving complex problems
  • Hands on experience with deploying Machine Learning tools to demonstrate real time telemetry data from Wireless systems
  • Academic knowledge of ML/NLP tools
  • Experience with large foundation models LLMs
  • Advance degree in Computer Science or a related field

Employment Type

Full-Time

Company Industry

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