Software Engineer in Test – Embedded, ML-Driven Automation

Apple Inc.; San Diego, Northern (CA, KY); Hybrid; USD 123,000 - 214,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products

Educational expense reimbursement

Job summary

Apple Inc. in California is seeking a Software Engineer in Test to join the Audio Product System Quality team. You will design and implement automated tests for AirPods hardware and firmware, and develop ML-powered validation tools to improve performance and reliability.

You will work cross-functionally with firmware, software, and hardware teams, write code in Python, and build scalable test frameworks to gather thousands of iterations weekly.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 2 years experience with machine learning algorithms in practice.
• Professional work experience testing embedded systems.
• Hands-on programming with Python.
• Familiarity with version control, testing, and debugging.
• Strong problem-solving and cross-disciplinary teamwork.
• Excellent written and verbal communication.

Responsibilities

• Design and implement automated stress, performance and stability tests for embedded systems.
• Contribute to ML-powered test automation frameworks and validation tools.
• Analyze validation data and build predictive models for early detection.
• Write and update problem reports with ML-assisted analysis.
• Collaborate with cross-functional teams to identify automation opportunities.
• Adapt to rapid project schedules and shifting priorities in new-product development.

Skills

Python programming

Machine learning

Embedded systems testing

Version control

Debugging

Cross-functional collaboration

Communication skills

Education

Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Claude AI tools

Tableau

Superset

Job description

Apple Inc. in California is seeking a Software Engineer in Test to join the Audio Product System Quality team. You will design and implement automated tests for AirPods hardware and firmware, and develop ML-powered validation tools to improve performance and reliability.

You will work cross-functionally with firmware, software, and hardware teams, write code in Python, and build scalable test frameworks to gather thousands of iterations weekly.