National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

SWE- Camera Software - Computational Video Engineer

Apple
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

▷ [30/06/2025] Pricing & Revenue Data Scientist...

Pricing & Revenue Data Scientist

Data Scientist

Pricing & Revenue Data Scientist

Data Scientist - CSSC

Research Engineer, Data (Foundational Research, Machine Learning)

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.

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.