3D Reconstruction Computer Vision Algorithms Engineer

Santa Clara Valley (Cupertino), California, United States


Posted: Feb 12, 2019
Role Number: 200022610
The 3D Perception team in Video Engineering – the team who developed the visual inertial odometry for ARKit – is working on the future of 3D-enabled Apple products. We are looking for an extraordinary algorithm engineer to join us on projects that impact hundreds of millions of users.

Key Qualifications

  • RGB-D 3D reconstruction algorithms
  • 3D mesh algorithms, operations, texturing, and parameterizations
  • Multi-view stereo
  • SLAM – Simultaneous Localization and Mapping
  • Traditional or deep learning domain knowledge for the above areas
  • Highly skilled in C++
  • Writing high performance, memory efficient, and multi-threaded code
  • Familiarity or experience with Objective-C, OpenGL, Metal, and Swift a plus


The release of ARKit last spring provided a historic opportunity: the world’s largest platform for 3D computer vision algorithms. As an Apple engineer, you will have low-level access to the hardware and APIs that you can’t get anywhere else. You will need these to deliver low-latency and high-performance algorithms to millions worldwide. You will use 3D computer vision to deliver experiences that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos – they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.

Education & Experience

PhD in computer vision, robotics, or machine learning; alternatively, a comparable industry career, with significant experience delivering products using state-of-the-art computer vision technologies.

Additional Requirements