Full Job Description
Responsibilities
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Invent, analyze, design, develop and optimize real time VR and AR computer vision algorithms in areas related to 3D reconstruction, SLAM, object detection and tracking, sensor fusion and camera calibration
• Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
• Develop software for a variety of consumer devices, including novel sensing systems, tracking systems, imaging systems and haptic devices
• Effectively communicate complex features and systems in detail
• Develop clean readable code, debug complex problems that span systems, prioritize effectively and get things done with a high level of efficiency
• Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR and VR problem solving
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Minimum Qualifications
• Experience leading projects with industry-wide impact
• Vast experience communicating and working across functions to drive solutions
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
• Experience in driving large cross-functional/industry-wide engineering efforts
• Significant experience in mentoring/influencing engineers across organizations
• Significant experience in programming languages with a technical background
• Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
• Experience in shipping computer vision or image processing products to millions of customers or have started a new line of product
• Experience in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning
• Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences
