Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

SWE- Camera Software - Computational Video Engineer

Apple
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning - DTG Capital Markets

Data Science Manager

Machine Learning Manager, London

Data Science / ML Lead

Summary:
iPhone is the most popular camera in the world. The flawless integration of software andhardware has led to features like Portrait Mode and Cinematic Mode which deliver experiencesthat are magical. Our team works hard on products that ship to millions of people, and we arelooking for people who want to do the same.The Computational Video and Machine Learning team develops the camera pipelines andinnovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combininginnovative algorithms with optimized implementations, our team delivers the quality andfeatures which help to re-define mobile videography. If you’re passionate about inventing anddeveloping new algorithms to improve the iPhone camera experience, we would like to hearfrom you.
Key Qualifications:
• Strong GPU coding skills (OpenGL/OpenCL/Metal).• Extensive production programming experience (preferably Objective-C/C++).• Practical experience in developing algorithms for image or video processing.• Fundamental understanding of camera systems and sensors.• Experience with concurrent architectures.• Strong analytical and problem solving skills.• Excellent written and verbal communications.• Ability to work hands-on in multi-functional teams.
Description:
In this role, you will design and implement state-of-the-art computer vision algorithms that will enable new high-impact Apple products and features and run on millions of devices. You will leverage your extensive GPU programming experience (e.g. from game development) to optimize render and compute pipelines for real-time performance. You will work on cross-functional features and collaborate closely with many different teams across Apple. If this sounds like it could be of interest, we would love to hear from you!
Additional Requirements:
MacOS or iOS development experience would be a plus. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.