Job Details

Manager, Software Engineering, AR/VR - People Ai

Menlo Park, California, United States

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting multiple products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas, spanning Face Tracking, Face Filters, Body Tracking, Avatars, Virtual Try-Ons, all of which designed to run on client (edge) devices. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.

Manager, Software Engineering, AR/VR - People AI Responsibilities

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/or AI/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 researchers and engineers to develop concepts that advance the entire product pipeline (hardware, software, integration, infrastructure, and applications)

Recruit world-class talent and provide mentorship to team members

Working closely with various organizations to define and execute the long-term roadmaps

Coordinating with research, user research, art, partnership and legal 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

Minimum Qualifications

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

3+ years of experience supporting an engineering and research organization through technical leadership

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, drive best practices, and mentor team members

Experience managing joint hardware-software development and associated rapid prototyping projects

Technical experience in leading teams/projects in one or more of the technical domains of machine perception (ie, machine vision, deep learning, sensors and robotics)

Preferred Qualifications

PhD in a related field of Computer Vision, Computer Graphics or AI/Machine Learning

Experience in leading teams developing social presence technologies such as face tracking, face filters, body tracking, avatars and virtual try-ons

Experience in leading teams interfacing with HW (sensors, silicon) teams in setting requirements and product tradeoffs

Flexibility and resilience in a dynamic environment

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