Computer Vision engineer, Sensor Fusion

Location: Vienna, United States

Department: Spectacles

Employment Type: Full time

About Snap Inc

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

About the Role

Snap Inc is a camera company believing that the camera + AI will help people share the moment in 3D and recommended ways. We are seeking a Computer Vision Engineer, Sensor Fusion for our Spectacles team in Vienna to push the boundaries of AR wearables. Spectacles, powered by Snap OS, are standalone, see-through AR glasses revolutionizing play, learning, and work. You'll solve industry-toughest challenges in tracking, SLAM, and sensor fusion, collaborating globally to innovate next-gen AR experiences that bring people closer in the real world. In this role, you'll contribute to state-of-the-art algorithms, develop novel AR features, and integrate CV solutions leveraging Spectacles' advanced sensors. Working from our Vienna office under our 'Default Together' policy (4+ days/week), you'll design real-time systems for camera-driven AR, optimize for wearables, and field-test in dynamic environments. Join a creative culture at Snap, where diverse voices drive camera technology and AR innovation. We're proud to be an equal opportunity employer, committed to diverse backgrounds regardless of race, gender, disability, or other protected classes. Our benefits include comprehensive medical coverage, paid parental leave, mental health support, and packages sharing in Snap's success. If you have a disability needing accommodation, let us know.

What You'll Do

• Contribute to state-of-the-art tracking and SLAM algorithms for Spectacles AR glasses
• Develop novel features for the next generation of Snap's AR products
• Design, implement, and integrate existing and new Computer Vision and Augmented Reality algorithms
• Research and leverage new techniques using sensors on current and future Spectacles hardware
• Collaborate closely with global Snap hardware and software teams from the Vienna office
• Optimize algorithms for real-time performance on wearable AR devices
• Conduct field testing and validation of CV systems in dynamic real-world environments
• Push boundaries of camera-based AR innovation to enhance user experiences in Spectacles
• Integrate sensor fusion techniques to improve tracking accuracy and robustness
• Prototype and iterate on CV solutions to solve toughest challenges in wearable tech

Minimum Qualifications

• BSc/MSc in a relevant engineering discipline (e.g., computer science, mechatronics, mathematics, robotics) with 2+ years of relevant industry experience
• Experience with SLAM or visual tracking systems
• 2+ years of programming experience in C++
• Solid foundation in Computer Vision including camera models, multi-view geometry, and transformations
• Solid math background with understanding of estimation theory, statistics, and linear algebra
• Outstanding problem-solving skills, attention to detail, and affinity for field testing
• Great communication skills and ability to work with cross-functional teams

Preferred Qualifications

• Masters or additional industrial experience in a relevant engineering discipline
• Experience with non-linear optimization, Kalman filtering, and state-estimation
• Experience with sensor types including IMU, magnetometer, GNSS, or pressure sensors

Knowledge, Skills & Abilities

• Computer Vision expertise (camera models, multi-view geometry)
• SLAM and visual tracking systems
• C++ programming (2+ years)
• Mathematical proficiency (estimation theory, statistics, linear algebra)
• Sensor fusion (IMU, magnetometer, GNSS, pressure)
• Non-linear optimization and Kalman filtering
• State-estimation techniques
• Real-time algorithm optimization for wearables
• Problem-solving and attention to detail
• Field testing and validation
• Cross-functional collaboration
• AR algorithm design and integration
• Research and prototyping skills
• Communication and teamwork
• Affinity for innovative camera and AR tech

Our Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages with long-term success sharing
• Dynamic collaboration in a 'Default Together' office environment (4+ days/week)
• Opportunities to work on cutting-edge AR glasses and camera technology
• Support for diverse backgrounds in a creative, innovative culture
• Accommodations for disabilities or special needs

"Default Together" Policy: At Snap Inc, we practice a "default together" approach and expect team members to work in an office 4+ days per week.

Snap is proud to be an equal opportunity employer.