Camera Embedded Software Engineer

Apple's ISP team is looking for an extraordinary Embedded Software Engineer to drive pioneering technologies for Apple products. As part of the team you will work on core camera and ISP technologies, including Apple crafted Image Signal Processing Pipeline and hardware components, 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. ## Description This is a highly multi-functional product development role and you will work closely with various teams such as the Silicon Design/QA team and the machine learning algorithm team. The environment is multifaceted, fast-paced and requires a self-starter demeanor. ## Responsibilities Develop low level device drivers for sophisticated image processing pipeline in embedded systems for the latest SoC blocks, chipsets in Apple. Work with high level software clients who are using camera, understanding their requirement, use case, limitation, then design, implement and test our camera software stack. Design and implement camera features in embedded systems for Apple products. You will work with other teams to define features and communication protocols and detail the requirements clearly with implementation specifications. Optimize and improve system performance in term of power, usage, latency, jitter, etc. Work on HW validation and provide software support to factory testing. You will also implement features to support hardware testing and diagnosis. ## Minimum qualifications BS and a minimum of 10 years relevant industry experience 10 years working experience in embedded software development Proficiency in C/C++ Proficiency in the development of multi-thread software within embedded RTOS system ## Preferred qualifications A passion for embedded software development Familiarity with camera pipeline and video processing Familiarity with SoC and H/W layer knowledge such as bring up, hardware driver and firmware development Familiarity with memory management and optimization, performance tuning in embedded system