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Embedded Firmware Engineer - Image Signal Processor (ISP)

Apple, Inc.Cupertino, CA🇺🇸United StatesPosted 12 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Apple's ISP team is seeking an exceptional Embedded Firmware Engineer to drive pioneering camera technologies for Apple products. Y ou will work on core camera and ISP technologies, including Apple's custom image signal processing pipeline and hardware components. In this role, you will help define how Apple develops, tests, and manufactures its products. Our team

fosters an environment of product innovation, rapid iteration, and collaboration across multiple functions while providing meaningful autonomy to deliver impactful work.

Description

This is a highly cross-functional product development role where you will partner closely with silicon design, silicon validation, and machine learning algorithm teams. The work spans the full product lifecycle from pre-silicon emulation through silicon bring-up and production. The environment is fast-paced and multifaceted, requiring initiative, technical curiosity , and comfort navigating ambiguity .

Minimum Qualifications

BS or MS in Computer Science, Electrical Engineering, or a related field

3+ years of experience developing multi-threaded software within embedded RTOS environments

Strong proficiency in C and C++

Preferred Qualifications

5+ years of embedded firmware development experience

Experience with camera pipelines, image signal processors, or video processing systems

Track record of bringing up firmware on new silicon or hardware platforms, Familiarity with pre-silicon development

environments including emulators and FPGA prototypes

Experience with firmware performance tuning, memory optimization, and power management

Proficiency with AI-assisted development tools and workflows

Understanding of low-level hardware interfaces and register-level programming

Ability to debug complex systems using hardware and software tools

Strong communication skills and ability to work effectively across teams

Skills

FPGA
Machine Learning
C++

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