Senior Computer Vision Engineer, Head Tracking

Key Skills

C++, Computer Vision (CV), Deep Learning, Design, Optimization, Python Programming

Job Description

The Product Development and Engineering roles are core of Magic Leap’s revolutionary AR capabilities. These highly collaborative teams are responsible for our organization's engineering and technical operations, performing cutting-edge and complex scientific research and development that is 'defined as we build' to create new AR products, features, and marketplaces. Activities include undertaking research, design, development, and implementation activities to improve Magic Leap’s AR products and services; designing, constructing, testing, and operating equipment; ensuring that standards of quality, cost, safety, reliability, timeliness, and performance are met in production processes; interpreting plans, drawings, and specifications; and collaborating across all Magic Leap teams to ensure our AR product and features provide a high-quality, immersive experience, meeting and exceeding our customer’s needs and our business objectives.

As a Senior Software Engineer within our Perception team, you will be contributing to the head tracking algorithm we use to allow virtual content to appear seamlessly in the real world. Conducting novel research and transitioning it to high-performance production software is the challenge that we tackle in our group. We work on the complete life cycle of AR products including contributing to the design of future products, research and development of novel algorithms, productizing them for a given hardware, and ensuring flawless performance in the product.

This is a hybrid position, requiring you to work in office three days a week in the Zurich area

What you’ll do

• Independently design and implement advanced algorithms for head tracking, image processing, and 3D computer vision
• Train, prototype and optimize neural networks to solve computer vision problems
• Data/Test driven R&D: Leverage data and test driven principles to develop core functionality throughout the full development cycle from the applied research phase until productization
• Programming / prototyping: Write elegant, efficient, maintainable and reusable code
• Collaborate and leverage partner teams for integration, testing and optimization

The experience you bring

• 5 years of experience with software development in C++ or Python
• 3+ years of relevant experience in at least one of the following topics: Visual SLAM, 3D reconstruction, Computational Photography, Deep Learning for Computer Vision
• Master’s degree in Computer Science or related field. Outstanding candidates with BS in Computer Science will be considered

It’s exciting if you also have

• Ph.D. in Computer Science or related field
• Hands on experience working with deep networks for geometric computer vision problems using unsupervised and self-supervised approaches is a plus
• Experience with VR, AR, MR technologies is a plus
• Knowledge of software optimization and embedded programming is a plus

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.