Seeking an individual looking to apply computer vision to make the next stage of augmented reality experiences for large scale, mobile gaming a reality. Candidates should have practical experience developing algorithms and systems that leverage computer vision for augmented/mixed reality.
Strong computer science foundation with focus on vision or robotics (MS or equivalent experience preferred).
Experience in computer vision and projects that use 3D logic.
Knowledge of 3D pose estimation and tracking is a plus.
Join the Niantic team!
Niantic’s mission is to use emerging technology to create experiences in the real world. We build products that inspire outdoor exploration, exercise, and face-to-face social interaction.
Originally formed at Google in 2010, we became an independent company with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. We build games that get people outside and exploring. We enable our players to have fun while visiting new places, learning about the world around them, and meeting new friends.
We launched Ingress, an immersive real-world mobile game played by millions of people in over 200 countries and territories, and downloaded over 20 million times. We also develop Pokémon GO, which has broken world records and been downloaded over 750 million times in its first year. We announced Harry Potter: Wizards Unite, our latest much-anticipated AR game.
We're a hard-working, fun, and exciting group who love what we do! We have offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, Tokyo, and Hamburg.
About Niantic inc.
Leaders in Augmented Reality
Niantic is building a state of the art augmented reality platform for current and future generations of AR hardware.
Our real-world gaming platform includes a massively scalable engine for shared state and user interactions already proven to support hundreds of millions of users and a client platform that sets the standard for mapping, security, and AR capabilities.
Niantic is hard at work solving challenges to realize the full potential of augmented reality using technologies such as machine learning and computer vision.