Software Engineer — Face ID

The Face ID team is an engineering and applied research team responsible for developing real-time on-device Computer Vision and Machine Perception technologies that power secure authentication across Apple products. We focus on a balance of research and engineering to deliver Apple quality state-of-the-art experiences. As a member of the Face ID team you will build and ship the software that brings these technologies to life on Apples next generation hardware and silicon. We are looking for a software engineer to help us take our platform frameworks and shipping experiences to the next level.

We are looking for a proactive software engineer to help design build and ship the software stack behind Face ID. The ideal candidate has a strong passion for delivering high-quality products and solving challenging real-world technical problems. Responsibilities range across architecture and API design implementation integration across the OS stack optimization automated testing and benchmarking with a particular emphasis on performance power reliability and security. You will work with CVML researchers to bring new capabilities from prototype to production partner with hardware and silicon teams on sensor bring-up and collaborate with framework accessibility and QA teams to make sure the experience works well for everyone who uses this position you will work closely with similar minds in a unique development team building software that runs billions of times a day.

BS and a minimum of 10 years relevant industry experiencenTrack record of designing and shipping robust software in a collaborative software engineering fundamentals: API and framework design data structures concurrency memory management and debugging complex systemsnExperience writing production software for resource-constrained or embedded platforms with an emphasis on performance memory latency and powernExperience integrating computer vision or machine learning components into shipping products (you dont need to invent the models but you should be comfortable working alongside those who do)nExperience with profiling instrumentation automated testing and continuous integration

MS or PhD in Computer Science Computer Engineering or a related field nnExpert C/C skills with working knowledge of Python; Objective-C or Swift experience nFamiliarity with camera depth or other sensor pipelines; experience with 3D or time-of-flight imaging nComfort working close to hardware and collaborating with silicon firmware and hardware teamsnInterest in security and privacy-preserving system designnPassion for shipping high-quality products including accessible experiences that work for a wide range of usersnSelf-motivated with excellent problem-solving and communication skills and a collaborative approach to code review and design discussion