Camera Platform Engineer

Cupertino, California, United States
Hardware

Summary

Posted:
Role Number:200518542
Apple's ISP team is looking for an extraordinary embedded software engineer to drive groundbreaking technologies for Apple products! As part of the team you would work on core camera and ISP technologies, including Apple crafted Image signal processing pipeline and HW 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.

Key Qualifications

  • A real passion for embedded software development
  • Proficiency in C/C++
  • Experience with MacOS/iOS development and app development experience using Swift is a plus
  • Familiarity with camera pipeline, video processing and HW components is a bonus

Description

In this role you will implement, maintain and pursue problems in our camera software stack including: 1. Develop and integrate the Machine learning algorithm implementation in both iOS/MacOS kernel and user space. 2. Develop low level device drivers for sophisticated image processing pipeline in embedded systems for the latest SoC blocks, chipsets in Apple. 3. Work with higher level software clients who are using camera, understanding their requirement, use case, limitation, then design, implement and test our camera software stack. 4. 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. 5. Work on HW validation and provide software support to factory testing. You will also implement features to support hardware testing and diagnosis. This is a highly multi-functional product development role and you will work closely with various teams, like Silicon Design/QA team and the Machine Learning algorithm team. The environment is dynamic, fast-paced and requires a self-starter demeanor.

Education & Experience

BS and a minimum of 10 years relevant industry experience

Additional Requirements

Pay & Benefits