Job Overview:
The Automation Engineer for Siri at Apple will play a pivotal role in ensuring the highest quality of Siri and related products by designing, crafting, and automating test plans integrated into a continuous environment. Responsibilities include hands-on adversarial testing across iOS, iPadOS, watchOS, tvOS, and HomePodOS, leveraging robotics and automation to break code and enhance overall system quality. The ideal candidate will bring flexibility, creativity, and a fresh perspective to QA processes, collaborating closely with Engineering, Program Management, and Quality Engineering teams. With a strong background in Python scripting, embedded systems, and wireless technologies, the engineer will also explore ML/NLP tools and large foundation models (LLMs) to push product quality further. A Bachelor’s or higher in Computer Science or Electrical Engineering is required, alongside 8+ years of automation experience in embedded systems.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Automation Engineer role at Apple’s Siri team, focus on highlighting your hands-on experience with Python scripting and embedded systems testing. Emphasize projects where you developed test frameworks or automated tests, particularly for wireless technologies. Quantify your impact—mention KPIs you identified, dashboards you created, or performance improvements you drove. If you have experience with ML/NLP tools or LLMs, showcase this prominently, as it’s a preferred qualification. Use action verbs like ‘designed,’ ‘automated,’ and ‘optimized’ to demonstrate your proactive contributions. Since Apple values innovation, include any creative problem-solving examples, such as prototyping solutions or improving QA processes. Tailor your education section to highlight your degree in Computer Science or Electrical Engineering, and if you have an advanced degree, make it stand out.
During the interview, expect deep technical questions on Python scripting, embedded systems, and your approach to automation testing. Be prepared to discuss specific challenges you’ve faced in QA, such as debugging complex issues or optimizing test frameworks. The interviewer will likely probe your experience with wireless technologies and ML/NLP tools, so rehearse clear, concise explanations of relevant projects. Since collaboration is key at Apple, highlight instances where you worked cross-functionally with engineering or program management teams. Demonstrate your problem-solving skills by walking through how you’d tackle a hypothetical testing scenario for Siri. Dress professionally but comfortably, aligning with Apple’s innovative yet polished culture. Finally, ask insightful questions about the team’s current challenges or how they measure Siri’s qualitative performance—this shows engagement and curiosity.