QualificationsAuto estimatingConstruction estimatingRecruitingMentoringComputer visionDoctoral degreeBachelor of ScienceBachelor’s degreeDoctor of Philosophy
Leading an organization comprised of technology leaders, applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements
Engaging cross-functionally with other technology leaders and engineers to develop concepts that advance the entire product pipeline (hardware, software, integration, infrastructure, and applications)
Recruiting world-class talent and providing mentorship to team members
Working closely with various organizations to define and execute long-term roadmaps
Coordinating with research, user research, legal, privacy and business development teams to both define and execute technology development with key partners & suppliers
Developing and communicating technology development strategies and status
Facilitating and working with teams to proactively alleviate project bottlenecks
Partner with leadership to influence and drive org design, contribution and prioritization
BS degree in Engineering, Physics, Computer Science or equivalent
5 + years of people management experience in multi-disciplinary global teams at the intersection of tech and product, including building performing teams and organization
2+ years of experience developing, coaching and managing engineering leaders
Demonstrated experience in recruiting and managing technical teams, including performance management
Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end
Leadership and interpersonal communication experience in working across many disciplines, driving best engineering practices, and mentoring team members
Technical experience in leading teams/projects in one or more of the technical domains of machine perception (e.g., machine vision, deep learning, sensors and robotics)
Flexibility and resilience in a dynamic environment
PhD in Computer Vision, Computer Graphics, AI/Machine Learning or related field
Experience managing joint hardware-software development and associated rapid prototyping projects in Computer Vision and/or AR/VR
Experience in leading teams developing Computer Vision technologies such as 3D Mapping, SLAM, people tracking and pose estimation
Experience in leading teams interfacing with HW teams (e.g., sensors, silicon) in setting requirements and product tradeoffs
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