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Computer Vision Engineer – SLAM Optimization | San Francisco, CA


We are developing 3D machine-readable maps to guide the world.

Your Next Gig: Map the Streets for Self-Driving Cars

We are We are developing 3D machine-readable maps to guide the world’s best autonomous vehicles to safely transport people to the places, things, and experiences they care about.

Our vehicles are on the road retrieving images and location data to restructure and create navigation maps for full-semi “driverless” vehicles to route successfully.

Our R & D team is responsible for algorithm development focused on computer vision and machine learning

We are seeking PhD’s with publications in CVPR, ICCV, ECCV, NIPS, International Journal of Computer Vision, TPAMI, ICRA, IROS.

Not a PhD? OK! If you have a solid working experience with SLAM/3D reconstruction with  4+ years of industry experience.

  • Solid knowledge using scientific computing frameworks & strong programming skills: especially SLAM, 3D reconstruction, and C/C++
  • Deep understanding of machine learning fundamentals
    Experience with open source computer vision and linear algebra frameworks
  • Solid knowledge of Path Recognition
  • Ability to effectively diagnose and propose solutions
  • Strong instincts for efficiency and optimization, with self-motivation to work with colleagues
  • Ability to collaborate effectively and pro-actively in cross-functional development teams
  • Excellent communication, especially written, and organizational skills

Mapper is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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