Calibration Algorithm Architect

Apple builds consumer electronics that have touched millions and changed the way people interact with electronic devices around the world. These products have cameras and other optical technologies that need calibration and testing to ensure the quality and customer experience Apple is known for. The HWTE group is responsible for developing technologies, calibration methodologies, and instrumentation for the calibration and testing of cameras and other sensors in every single Apple product before it leaves the factory. These solutions will be developed during New Product Introduction (NPI) before they are scaled by the operations team. Are you ready for your next adventure?

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