C++ SWE (3D Geometry) - Apple Vision Pro
Boulder, Colorado, United States
Software and Services
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us.
- Passionate about Spatial Computing
- Passionate about working with hardware architectures
- Great interest or background in Computer Vision and/or Machine Learning
- Solid fundamentals in Linear Algebra
- Strong proficiency in C/C++
- Performance and optimization oriented
- Self-motivated and great teammate
Vision Product Group (VPG) is the group that is responsible for many of the key algorithms for Apple Vision Pro. We are looking for versatile engineers who are passionate about building products for millions of customers around the world. You’ll be working on cutting-edge technology and develop algorithms that enable a high-quality user experience across a range of tentpole use cases and applications. As a part of our team, you will closely collaborate with HW engineers (cameras, silicon, electrical engineering, product design) and other technology development software teams (computer graphics, video engineering, data generation/annotation, drivers/OS). You can make a difference by researching and prototyping novel deformable object tracking algorithms beyond the state of the art and/or by optimizing the performance of real-time algorithms running on Apple silicon.
Education & Experience
M.Sc. or B.Sc. degree in Computer Science or similar, alternatively a comparable industry career with a consistent track record of successful projects.