Automation and Design Test Engineer

Are you passionate about creating groundbreaking technology for the next

generation of voice assistant technology, Siri, that will usher in the next

revolution of human–computer interaction? Join the Siri AI QE team at Apple and

play a significant role in shipping groundbreaking technology for large-scale

systems in natural language processing and artificial intelligence that power

Siri and impact the day-to-day lives of billions of people globally. We are

looking for a Software Development Engineer in Test with a strong background and

experience in software testing, the software development life cycle,

conversational AI, and generative AI. We are seeking an engineer who is

passionate about improving the quality of software products and collaborating

with some of the most innovative product development teams in the world. This

team designs and builds evaluation tools, automation frameworks, and

methodologies that enable product teams across Apple to develop products and

solutions that power amazingly intelligent user experiences. You will engage

with innovative new-product teams across Apple, bringing your expertise and

passion for innovation to solve technical challenges for our next-generation

products.

DESCRIPTION

This role as Software Development Engineer in Test will own the qualification of

Siri on AIML future technologies and customer facing product features by

developing evaluation, automation, and test methodologies. You will be

leveraging innovative techniques to build applications and testing solutions on

top of Apple’s most advanced technologies. As a Software Engineer focused on

quality of software products and features, you will be responsible for designing

and implementing testing solutions, automations, and build solutions for quality

insights and testing frameworks. You will work closely with other

cross-functional teams to align research, messaging, contribute to roadmaps, and

development of world class products. You will prototype and test new ideas and

bring your research to life. You will be playing a pivotal role in testing,

maintaining, and shipping artifacts/features to make Siri and other AIML-related

products experience enjoyable by customers. This role requires a deep dive into

existing systems to identify root causes of issues and uncover opportunities to

enhance reliability and performance. You'll contribute to post-mortem

discussions for key services, providing strategic input to prevent future

issues. The primary responsibilities associated with this position range from

data insights, design and implementation of product quality measures, ability to

convert research findings into product quality improvement or frameworks, and

work closely with product teams before and after feature launch. You will write

clean, maintainable, and production code with appropriate documentation and

tests. You will contribute to architecture decisions, design reviews, and peer

code reviews. Strong communication skills are essential, as you’ll regularly

update stakeholders, triage issues, coordinate bug fixes, and collaborate across

multiple time zones and teams.

MINIMUM QUALIFICATIONS

BS or MS in Computer Science or Electrical Engineering with Strong coding skills

and 5+ years of Industry experience 5+ years of experience in a software

development or test engineering role, with demonstrated leadership in quality

strategy, and automation Proven expertise in designing, developing, and

maintaining end-to-end test automation frameworks as an SDET or SDE, using

languages such as Swift, Objective-C, Python, or Java Hands-on experience with

CI/CD pipelines and automation tools such as TeamCity, Jenkins, Docker,

Kubernetes, Git, and GitHub Ability to proactively triage, investigate, and

debug difficult technical and UX problems independently as well as

collaboratively Proven track record of managing automated test execution at

scale—ensuring reliability, timeliness of results, and actionable reporting

Demonstrated depth of knowledge and application of statistics-based evaluation

methodologies or user success metrics Understanding of generative AI and

experience in using Gen AI tools for various applications Exceptional

communication and interpersonal skills, with experience collaborating across

functional teams and time zones, and influencing stakeholders at all levels

Highly self-motivated, strategic thinker with a problem-solving mindset and a

proactive approach to tackling challenges in distributed systems

PREFERRED QUALIFICATIONS

MS in Computer Science or Electrical Engineering with Strong coding skills and

7+ years of Industry experience