Address
Form of workSummary
Apple's ISP algorithm team is looking for an extraordinary embedded software engineer to drive pioneering technologies for Apple products. As part of the team you would work on camera Auto Exposure and sensor control technologies, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products. Our close-knit team cultivates an environment of product innovation, rapid product iteration and collaboration at both team and multi-functional levels with a liberating amount of autonomy.
Key Qualifications
A real passion for embedded software development
Proficiency in C/C++ software architecture, development and optimization
Proficiency in development of multi-threaded real-time software
Familiarity with camera and sensor programming, video processing, Neon optimization, and Python is a plus
Description
In this role you will implement, design and maintain the software driving the Auto Exposure inside our camera firmware stack including but not limited to:
1. Design and implement the multi-camera Auto Exposure processing architecture (multi-camera exposure sync control, custom capture schemes, frame rate handling, and finite state machines).
2. Work closely with the Auto Exposure algorithm team to adapt the architecture for new use cases and integrate new algorithms.
3. Work with other teams up the camera stack to define and implement interfaces to support new Auto Exposure features.
4. Optimize and improve system performance in term of power, usage, latency, jitter and etc.
5. Work on regression, unit testing, and debugging frameworks to improve the reliability of our system and help with diagnosing issues encountered in the field.
This is a highly multi-functional product development role and you will work closely with various teams, like Camera Firmware and Software teams, and the Machine Learning algorithm team. The environment is multifaceted, fast-paced and requires a self-starter demeanor.
Education & Experience
BS and a minimum of 3 years relevant industry experience
Apple's ISP algorithm team is looking for an extraordinary embedded software engineer to drive pioneering technologies for Apple products. As part of the team you would work on camera Auto Exposure and sensor control technologies, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products. Our close-knit team cultivates an environment of product innovation, rapid product iteration and collaboration at both team and multi-functional levels with a liberating amount of autonomy.
Key Qualifications
A real passion for embedded software development
Proficiency in C/C++ software architecture, development and optimization
Proficiency in development of multi-threaded real-time software
Familiarity with camera and sensor programming, video processing, Neon optimization, and Python is a plus
Description
In this role you will implement, design and maintain the software driving the Auto Exposure inside our camera firmware stack including but not limited to:
1. Design and implement the multi-camera Auto Exposure processing architecture (multi-camera exposure sync control, custom capture schemes, frame rate handling, and finite state machines).
2. Work closely with the Auto Exposure algorithm team to adapt the architecture for new use cases and integrate new algorithms.
3. Work with other teams up the camera stack to define and implement interfaces to support new Auto Exposure features.
4. Optimize and improve system performance in term of power, usage, latency, jitter and etc.
5. Work on regression, unit testing, and debugging frameworks to improve the reliability of our system and help with diagnosing issues encountered in the field.
This is a highly multi-functional product development role and you will work closely with various teams, like Camera Firmware and Software teams, and the Machine Learning algorithm team. The environment is multifaceted, fast-paced and requires a self-starter demeanor.
Education & Experience
BS and a minimum of 3 years relevant industry experience
