Camera Power & Performance Engineer

Apple's Camera Performance team is looking for an engineer who combines a passion for power and performance optimization with a desire to deliver the best image quality alongside the most fluid user experience possible.

In this role, you'll be responsible for analyzing and optimizing camera Power and performance across Apple's product range. Building on a strong foundation of computer architecture, electrical engineering and operating system fundamentals, you'll work to setup experimental boards, measure power, profile performance and memory issues and identify solutions, working closely and collaboratively with partners across both software and hardware teams to fully realize the capabilities of Apple's world-beating silicon.

Description

The Camera performance team works cross-functionally across Apple to optimize and sustain the camera experience for both next-generation and existing products. You'll use a range of profiling and analysis tools as well as experimental prototyping setups to triage problems and identify optimizations, whilst simultaneously working to assist partner teams in modeling the demands of upcoming features. At a high level, you'll work to ensure that implementation of Apple's image processing algorithms is aligned to silicon capabilities - gaining extensive exposure to GPU and Apple Neural Engine hardware in the process.

Minimum Qualifications

Proficiency in C, C++, or Objective-C

A knowledge of OS, systems, computer architecture and electrical engineering.

Experience with virtual memory, scheduling, IPC / inter-process communication, and synchronization

Expertise in software profiling techniques and tools (such as Xcode, valgrind, vmmap, Instruments, VTune, or Perfetto)

An ability to quickly understand and debug unfamiliar codebases

Preferred Qualifications

Prior experience of realtime audio/video processing pipeline development

A proven ability to debug performance issues and implement system-level memory and latency optimizations

Proficiency with the use of GPU & TPU hardware to accelerate image processing and AI/ML workloads

History of making data-driven decisions and recommendations to move projects forward

CS degree or equivalent experience