Software Engineer (Body Technologies)

Apple

Munich, Germany

Are you eager to work at the intersection of Software Engineering, Computer Vision, and Deep Learning? On projects that transform technical innovation into Apple products that touch the lives of millions? Then join the Munich Vision Lab as a Software Engineer working on body technologies.

Our team has brought to life the Personas that power FaceTime on Apple Vision Pro. Together, we will develop even more groundbreaking technology for human representation and understanding.

Description

We’re seeking a creative and passionate software engineer to collaborate closely with AI and computer vision domain experts. Your role will involve designing, implementing, and refining our frameworks that ship on visionOS, iOS, and other Apple operating systems. You’ll work on algorithmic pipelines involving image processing, real-time computer vision, machine learning, and augmented reality.

Apart from writing efficient code that integrates our algorithms and ML models into our software, you’ll also develop tools for testing, evaluation, debugging, and root-cause analysis of issues. You’ll help analyze and fix issues to deliver high-quality software and algorithms to our customers. Additionally, you’ll support the development of prototypes for future products and features. Your responsibilities span a range of areas, including lower-level code optimization, implementation of UI tools that render in 3D, and maintenance of existing features on the latest hardware.

You’ll join a mid-sized team in Munich, Germany, where you’ll work closely with ML and QA engineers. You’ll also regularly interact with teams based in the US and across Europe.

Minimum Qualifications

Expertise with at least one of C++, C, or Objective-C.
Demonstrable ability to write efficient, testable, and maintainable code.
Experience with software design and common development practices.
Relevant work experience in a related field, such as 3D Computer Graphics, Computer Vision, Image Processing, Signal Processing or Robotics.
Fluency in written and spoken English.
A BSc/MSc in Computer Science or a related field, or equivalent industry experience.