Apple's Camera Firmware team is seeking an outstanding firmware engineer to help drive innovative technologies for Apple's iconic products, contributing to the future of photography and videography by working on core camera technologies including Apple's custom Image Signal Processing (ISP) pipeline, hardware components, and machine learning techniques.
Requirements
- Hands-on experience in embedded software development
- Proficiency in C/C++
- Proficiency in development of multi-thread software within embedded RTOS system
- Deep expertise and hands-on experience with ARM-based SoCs.
- Strong background in image and video signal processing, including ISP and machine learning algorithms.
- Proven ability to optimize system performance and improve the efficiency of embedded systems.
- Previous experience in camera systems or related fields is a plus.
Responsibilities
- Developing Low-Level Device Drivers: Build drivers for advanced image processing pipelines in embedded systems, working with the latest SoC blocks and chipsets used in Apple products.
- Platform Validation and Development: Integrate and configure camera sensors and power management units for Apple products.
- Diagnosing and Troubleshooting Platform Issues: Identify and resolve performance and memory usage bottlenecks in embedded systems to ensure efficient functionality and stability.
- Designing and Implementing Camera Features: Build camera functionalities for embedded systems in Apple products, working multi-functionally to define features, communication protocols, and clear implementation specifications.
- Supporting Hardware Validation and Factory Testing: Contribute to hardware validation, offering firmware support during factory testing and implementing features to aid in hardware diagnostics and testing.
Other
- BS and a minimum of 3 years relevant industry experience
- Exceptional problem-solving skills with a keen attention to detail.
- This is a highly collaborative product development role, requiring close coordination with teams such as Silicon Design, QA, and Machine Learning.
- The fast-paced, dynamic environment is ideal for a proactive, determined individual.
