Senior Computer Vision Engineer
Full Time
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.
If you have a passion for computer vision, robotics, and developing innovative technology solutions, we encourage you to apply for this exciting opportunity as a Senior CV Engineer.
Job Type: Full-time
Pay: $120,845.00 - $130,055.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Schedule:
- 8 hour shift
- Monday to Friday
Willingness to travel:
Work Location: On the road
