Camera Embedded Software Engineer

At Apple we dont just build products we craft experiences that redefine whats possible. The Video Engineering team is behind the cutting-edge camera and imaging technologies that power hundreds of millions of iPhones iPads and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography were shaping how people see and share their world.

This role sits at the intersection of real-time embedded systems silicon design and computational imaging a rare opportunity to influence camera technology at a scale no other company can match. If youre passionate about building software that blends hardware innovation with algorithmic intelligence wed love to have you on our you are:nnYou thrive on solving complex technical challenges and turning ideas into elegant efficient take pride in writing clean maintainable high-performance code and you enjoy helping others do the curious collaborative and motivated by impact you want your work to matter and here it ships to hundreds of millions of energized by working across disciplines partnering with silicon architects algorithm researchers and systems engineers to build something none of you could alone.

Own the architecture and implementation of next-generation camera firmware from early prototyping through mass and optimize ISP and ML algorithms powering Apples most advanced photo and video debug and drive improvements in performance latency and power efficiency across the full camera directly with silicon algorithms and systems teams to co-design hardware-software interfaces that unlock new imaging architectural decisions that scale across Apples entire device portfolio your designs ship in hundreds of millions of to a culture of technical excellence through design reviews mentorship and cross-functional collaboration.

BS and a minimum of 3 years relevant industry in C/C with a strong emphasis on performance memory safety and code developing and debugging on ARM-based SoCs or with real-time operating systems (RTOS) or bare-metal analytical debugging and problem-solving skills.

6 years of experience in embedded software understanding of image and video signal processing including ISP tuning pipelines or camera HAL with camera systems machine learning for imaging or sensor data to multi-camera systems or computational photography features such as HDR Night Mode or depth in or experience with AI-assisted development tools and workflows.