Software Development Engineer in Test at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Quality Assurance, Test Automation, Machine Learning, Computer Vision, Data Analysis, Test Planning, Collaboration, Technical Leadership, Performance Evaluation, Model Evaluation, Bias Understanding, Cross-Functional Communication, Strategic Planning, Test Infrastructure, Innovation

Industry

Computers and Electronics Manufacturing

Description

The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. Examples include FaceID, Animoji/Memoji, Scene Understanding, People Understanding and Positional Tracking (VIO/SLAM). DESCRIPTION In this role, you will lead a project with small team of QA and automation engineers, analyzing performances of complex Machine learning models and 3D computer vision systems on real world applications, building end-to-end pipeline and metrics for fast model evaluation, and understanding data / model biases. You will also work hand-in-hand with engineering teams from design phase all the way to software release in production hardware, create test plans and drive quality, lead technically deep, strategic and efficient test plan reviews as well as technical innovation within the team on test infrastructure and tools. Influence SW/FW design decisions through a strong test data driven approach that creates collaborative accountability for the dev teams. In this role you are expected be able to dive deep technically, look round corners, anticipate potential design gaps and build effective and efficient quality assurance test campaigns. MINIMUM QUALIFICATIONS BS and a minimum of 3 years relevant industry experience 2+ years of experience in QA management or technical leadership roles Experience developing and implementing test automation pipelines PREFERRED QUALIFICATIONS Master’s degree or Bachelors degree with in Computer Science or equivalent experience with a focus on machine learning and computer vision. 4+ years of experience in software quality assurance with consumer products through full product lifecycle 4+ years experience working on consumer industry in development of software test handling full product life cycle Experience in driving and developing automation pipeline Strong verbal and written communication skills; experience working with cross-functional organizations and external partners

Responsibilities

Lead a project with a small team of QA and automation engineers to analyze the performance of complex machine learning models and 3D computer vision systems. Create test plans, drive quality, and influence software and firmware design decisions through a data-driven approach.