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Software QA Engineer- Automation, Siri

Apple
Posted a month ago, valid for 7 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a versatile software quality engineer to join the Siri AI Quality Engineering group, focusing on automation and quality assurance for AI assistant technologies.
  • Candidates should have 5-10+ years of experience in software quality engineering, with expertise in Python, Bash, and/or Swift, along with knowledge of ML/NLP libraries.
  • The role involves updating software frameworks, developing testing strategies, and collaborating with product development teams to ensure high-quality releases.
  • A strong background in software development and a passion for creating scalable simulation systems are essential for success in this position.
  • The salary for this role is competitive and commensurate with experience.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. 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!

Description


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!

Minimum Qualifications


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



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