Camera Embedded Software Engineer
Apple Sunnyvale, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will develop core camera and ISP technologies, including hardware components and image processing pipelines. The role involves collaborating with silicon design, QA, and machine learning teams to drive product innovation.
What they look for
Requirements
Candidates must have a BS or MS in Computer Science, Electrical Engineering, or a related field with at least one year of experience. Proficiency in C/C++ and experience developing multi-threaded software in an embedded RTOS environment are required.
Full description
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.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field with 1+ year of relevant experience, or MS in a related field Proficiency in C/C++ Proficiency in developing multi-threaded software within an embedded RTOS environment.
Preferred Qualifications
A passion for embedded software development. Familiarity with camera pipeline or video processing pipeline. Familiarity with SoC and hardware-layer development, including bring-up, hardware drivers, and firmware. Growing ability to work independently on structured, well-defined tasks with ownership.
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