Computer Vision Algorithms Engineer

Swan

Completely RemoteFull TimeInformation Technology
Posted 3 days ago

Job description

Responsibilities

  • Design, develop, and implement computer vision systems, including navigation systems for aerial applications
  • Write clean, efficient, and well-documented code in C++ and Python
  • Collaborate with cross-functional teams to design and test integrate robotic and vision systems
  • Collaborate with external stakeholders and customers to understand requirements and conduct tests
  • Optimize system performance and ensure robust, reliable operation in diverse environments
  • Debug and troubleshoot system issues to identify and implement effective solutions

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 5+ years of software development experience in computer vision or machine learning
  • Extensive experience in computer vision algorithms, SLAM, detection, and tracking
  • Proficiency in C++ and Python with strong understanding of OOP and design patterns
  • Extensive experience with sensor data processing, calibration, filtering, and fusion
  • Familiarity with robotics frameworks such as ROS

Preferred Qualifications

  • Experience with flight controllers (Ardupilot, PX4)
  • Understanding of control systems and kinematics
  • Experience in aerial systems, particularly UAV / UAS

Benefits

  • Top-tier health, dental, vision, short-/long-term disability, and life insurance
  • Flexible/reasonable vacation and sick leave
  • 401(k) plans, FSA, HSA, and commuter benefits

About the Company

Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund.

Skills & tools

Computer VisionC++PythonMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's or Master's in CS, Robotics, or EE
  2. 025+ years software development experience
  3. 03Expertise in SLAM, detection, and tracking
  4. 04Proficiency in C++ and Python
  5. 05Experience with sensor data processing
  6. 06Familiarity with ROS
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