Senior, Computer Vision Engineer, Object Tracking

Job Description

Job Description

We have an exciting opportunity on our Perception team for individuals with strong development/research skills in the field of Computer Vision and Machine Learning. The primary responsibility of the role is to lead the development of multiple core components for 3D object detection, 6 DOF Pose estimation and scene understanding. The engineer must come with expertise in at least one of the following core technical areas of geometric vision and machine learning: object detection, object pose estimation, semantic segmentation, 3D reconstruction, object tracking. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, effective leaders and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.

Responsibilities

• Build the development effort of advanced product-critical computer vision components covering key product critical perception features such as head pose tracking, eye tracking, environment mapping, sensor calibration.
• Define and execute the roadmap of new features.
• Actively contribute to Magic Leap Intellectual Property and publish the research findings in peer-reviewed conferences.
• Work hand-in-hand with the key stakeholders and developers across the company using computer vision components.
• Support overall engineering and architecture efforts of computer vision and machine learning components.
• Write maintainable, reusable code, leveraging test driven principles to develop high quality geometric vision and machine learning modules.
• Troubleshoot and resolve software defects and other technical issues.
• Review individual developer's code in the team to ensure highest code quality in Computer Vision components.

Qualifications

• 4+ years of working experience in Computer Vision targeted to product development.
• Strong knowledge and strong leadership experience in Computer Vision and specialization in at least one of the following domains:
• 3D Reconstruction : Design and implement algorithms for building 3d models utilizing complex devices composed of several sensors, cameras, IMUs, depth sensors, and imagers.
• Object Pose Estimation and Tracking : Research, architect and hands-on experience on the object detection/pose estimation and tracking.
• Computer vision algorithms on device: Research, architect, and implement high-performance computer vision software on device with state-of-the-art capabilities.
• Expert level in C/C++ (programming and debugging).
• Experience working with OpenCV.
• Experience in Deep Learning with knowledge of at least one of TensorFlow or PyTorch.
• Knowledge of parallel computing, OpenCL, CUDA, GPGPU is a plus.
• Knowledge of software optimization and embedded programming is a plus.

Education

• MS in Computer Science or Electrical Engineering (with a minimum of 3-5 years of relevant experience).
• Ph.D. is preferred (with a minimum of 2-3 years of relevant experience).

Additional Information

• All your information will be kept confidential according to Equal Employment Opportunities guidelines.