Senior Computer Vision Engineer

4 days ago

San Jose, California, United States Bonsai Robotics Full time $120,000 - $180,000 per year

Job Overview

We are seeking a highly skilled Sr. CV Engineer to join our team. As a CV Engineer, you will develop, implement, and optimize our custom CVML algorithms for our robotics systems. You should have a strong background in any of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multi-view geometry. The ideal candidate will be proficient in programming languages such as C++ and Python.

Key Responsibilities

  • Develop, implement, and optimize CV/ML algorithms for robotics systems
  • Train, test and deploy custom ML models on embedded systems
  • Collaborate with cross-functional teams to integrate models and algorithms technology into our products.
  • Stay up to date with latest research in computer vision and devise custom algorithms
  • Create and maintain code documentation and unit tests

Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering or related field
  • Strong background in most of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multiview geometry
  • Experience with training multi-head DL architectures
  • Familiarity with all DL architectures related to 3D vision
  • Developing scalable training pipelines in the cloud
  • Proficient in Pytorch
  • Strong foundations in multi-view geometry
  • Proficiency in programming languages such as C++ and Python
  • Bonus: Experience with ROS 2, TensorRT
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Strong verbal and written communication skills.

Bonsai Robotics is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.

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