at Apple
Location
San Diego, United States of America
Compensation
$123k–$214k USD
Type
full time
Posted
4 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $214k · well below market
Posting health
Aging · 70Tailor your résumé to this role in 30 seconds.
Free account · ATS keyword check · per-job bullet rewrite by Claude.
As a Software Engineer in Test you will be responsible for the development of key new areas for AirPods functional, stability and performance test coverage, enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs thousands of iterations daily.
Help design and implement automated stress, performance and stability tests for embedded systems, with hardware and firmware-centric focus
Contribute to ML-powered test automation frameworks and validation tools
Analyze validation/test data and help build predictive models that detect issues early
Write and update problem reports, including ML-assisted analysis of failures and root causes
Collaborate with cross-functional engineering and QA teams to learn the broader testing landscape and identify automation opportunities
Adapt to rapid project schedules and shifting priorities common in new-product development
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
2 years experience involving machine learning algorithms and their practical applications
Professional work experience testing embedded systems
Hands-on programming experience with Python
Familiarity with software engineering fundamentals (version control, testing, debugging)
Strong problem-solving skills and ability to work in a cross-disciplinary team environment
Excellent written and verbal communication skills
Experience with hardware/firmware/software validation, hardware/firmware/software integration, or testing methodologies
Experience with Claude code or other AI tools, MCPs and skills
Background in data science, machine learning, computer vision, or statistical data analysis
Knowledge of real-time audio or Bluetooth technologies
Familiarity with data analysis and visualization tools such as Tableau or Superset
Do you want to make a positive impact on the direction of new, key technologies in consumer products while pioneering the future of intelligent quality assurance?
We are the Audio Product System Quality team, and we are seeking a creative and motivated Software Engineer in Test to join our team for advanced audio products like AirPods/AirPods Pro/AirPods Max! You will be a key part of the hardware/software development process and have the opportunity to work closely with firmware/software/hardware teams while we deliver the best audio experience for our customers. To achieve this, it requires building large automated frameworks to gather thousands of iterations of test data weekly, and we need people like you to help us build and maintain our tools for critical functional, stability and performance testing of AirPods products.
You'll plan, design and write code for system automation with an emphasis on hardware and firmware-centric risks across a number of devices. You will be at the nexus of hardware, firmware and software where you work cross-functionally with multiple engineering and QA/QE teams to identify risk areas and testing responses, and to support engineering investigations. We expect artificial intelligence and machine learning to be at the core of the work, developing next-generation automation tools that predict, prevent, and optimize critical system failures before they impact customers.
Come join our team!
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
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Apple accepts applications to this posting on an ongoing basis.
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