Embedded Camera ISP Engineer — Low‑Level Systems

APPLE SOUTH ASIA PTE. LTD.

Singapore

On-site

SGD 90,000 - 140,000

Full time

5 days ago
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Job summary

APPLE SOUTH ASIA PTE. LTD. is seeking an embedded software engineer to design and implement camera ISP software for Apple devices, spanning firmware, kernel, and user-space components.

You will collaborate with Silicon Design, Camera Hardware, and QA teams to deliver reliable, high-performance imaging features on iPhone, iPad, and Mac platforms. Strong C/C++ skills and real-time embedded experience are essential.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience.
  • Proficiency in C and C++.
  • Proficiency in developing real-time software in embedded environments.
  • 3+ years of relevant industry experience in embedded or systems software development.

Responsibilities

  • Design and implement low-level drivers and system software for sophisticated image signal processing (ISP) pipelines in embedded environments, targeting Apple's latest SoCs and chipsets.
  • Develop camera features across the full software stack — from user-space frameworks and kernel drivers to firmware — for Apple products.
  • Partner with cross-functional teams to define features, communication protocols, and implementation specifications, with clearly documented requirements.
  • Develop system software for secure sensor subsystems powering features like Face ID and Optic ID.
  • Support hardware validation, factory testing, and manufacturing diagnostics to ensure product quality at scale.

Skills

C
C++
Real-time software
Embedded systems

Education

Bachelor's/Master's in CS/EE

Job description

APPLE SOUTH ASIA PTE. LTD. is seeking an embedded software engineer to design and implement camera ISP software for Apple devices, spanning firmware, kernel, and user-space components.

You will collaborate with Silicon Design, Camera Hardware, and QA teams to deliver reliable, high-performance imaging features on iPhone, iPad, and Mac platforms. Strong C/C++ skills and real-time embedded experience are essential.

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