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Description
As part of the Hardware Test Engineering group, you will be responsible for designing and implementing frameworks and software tools used by calibration algorithm developers and factory station software engineers. You will work closely with system design leads and the production teams to understand the software needs for factory test stations and develop software solutions to enable hardware testing of Apple products. You will also evaluate and extend existing algorithm implementations in C++ and/or Python to support new metrology methods and measurement capabilities.
Minimum Qualifications
Bachelor's degree in CS/EE/ME/Physical Sciences 7+ years of relevant engineering experience Extensive knowledge of camera technologies including image sensor operation, analog electronics, image processing (perceptual rendering and machine vision), algorithms (AWB, AGC, AF, OIS), actuators, and optics Expertise in camera and image quality measurement including sharpness (SFR/MTF), color accuracy, noise, defect detection, distortion calibration, and optical issues Proficiency in Python for tool development and data analysis; working knowledge of C/C++ and/or MATLAB Strong software design skills including data structures, algorithms, and object-oriented design
Preferred Qualifications
Master's degree in CS/EE/ME/Physical Sciences 5+ years of relevant engineering experience Knowledge of computational imaging including areas such as multi-view geometry, depth estimation, extrinsic calibration, perspective transforms, sensor fusion, camera-to-camera and camera-to-IMU calibration Experience with FATP or high-volume manufacturing test environments, telemetry, critical metrics, and data-driven decision-making Strong background in data analysis, statistics, large dataset handling and visualization Proven experience designing, building, and deploying AI-driven automated workflows and tools Experience using LLMs and autonomous agents to solve complex engineering problems Hands-on experience developing custom "skills" and tool-calling capabilities for AI agents to enable them to interact with APIs, databases, and internal software frameworks Ability to identify and develop solutions to broad, systemic problems across complex hardware and software environments Ability to thrive in a fast-paced, ambiguous environment and make sound decisions with incomplete information
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