Software QA Engineer- Automation, Siri

Job Description

As part of Siri's AI Quality Engineering, we are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AI/ML products to new products that will help millions get things done, across the globe? Join Siri AI Quality Engineering at Apple and contribute to a highly accomplished team that focuses on releasing high quality software, models, and products, that will delight and inspire millions of people!

We are seeking a versatile and motivated software quality engineer to join our Siri AI Quality Engineering group. In this role, you'll be at the forefront of enabling AI assistant experiences in Apple's next-generation hardware platforms. You'll ensure that our software frameworks and environments are updated and modernized to adapt to the new architectures and usage scenarios of new products in the development pipeline. You'll also partner closely with product development teams and quality engineering groups as the owner of automation support.

This position is ideal for systems & framework engineers who are passionate about quality, enjoy creating scalable simulation systems, and are eager to contribute to the success of pioneering AI products. If you have a strong background in software development and experience building tools for simulation and quality, we would love to hear from you!

Requirements

• 5-10+ years of experience working as a Software Quality engineer with primary focus on automation
• Expertise in Python, Bash and/or Swift with exposure to ML/NLP libraries
• In-depth knowledge of software development lifecycle, testing methodologies, and testing tools
• Developing test plans, assessing risk, filing appropriate defects, and providing relevant data for test reporting
• Develop and maintain robust testing frameworks using machine learning models
• Experience with developing test strategies, including: writing test plans, test cases, and testing architectures
• Expertise with LLM usage to innovate and improve efficiency of the daily work
• BS/MS or equivalent experience in Computer Science or related field

Preferred Qualifications

• Strong software engineering skills, including system design, development, testing, debugging, release and maintenance
• Drive development and deployment of relevant ML testing tools and infrastructure
• Deep understanding of automated software testing methodologies and lifecycle, including integration testing, component mocking, and dependency injection
• Ability to work independently, raise issues and take corrective actions
• Ability to triage problems, prioritize accordingly, and propose a resolution