Meta AR/VR Job | Engineering Manager, Computer Vision (Tracking)
Job（岗位）: Engineering Manager, Computer Vision (Tracking)
Type（岗位类型）: 3D Software Engineering | Computer Vision, Engineering, Machine Learning
Citys（岗位城市）: Zurich, Switzerland
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
The Facebook Reality Labs team at Facebook is helping more people around the world come together and connect through world-class AR/VR hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, Oculus is committed to driving the state of the art forward through relentless innovation. AR/VR’s potential to change the world is immense—and we’re just getting started.
Our Zurich Core Tech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Oculus products. From mixed reality and human interaction to natural inputs and beyond, Core Tech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.
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 Tracking for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Qualifications（岗位要求）
BSc/MSc in Computer Science, a related technical field or equivalent work experience
Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end
People management experience in multi-disciplinary global teams at the intersection of tech and product, including building performing teams and organizations
Demonstrated experience in recruiting and managing technical teams, including performance management
Solid coding skills in C++ (a must), and Python (an advantage)
Leadership and interpersonal communication experience in working across many disciplines, drive best practices, and mentor team members
Technical experience in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).
Description（岗位职责）
Leading an organization comprised of technology leaders and engineers from prototyping to development and integration of advanced systems relying heavily on Computer Vision and/or AI/Machine Learning technologies
Drive an excellent customer experience, continually raising the bar on functionality, usability, and simplicity
Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement
Establish a solid project framework and excellent development processes
Provide technical leadership and guidance to both your team members and your project peers
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline (hardware, software, integration, infrastructure, and applications)
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Communicate and collaborate effectively with global hardware and software engineering teams
Operate strategically and tactically. Work on strategy and help set direction while staying on top of the day to day software development.
Additional Requirements（额外要求）
Background in Computer Vision and Machine learning for at least one of the following: SLAM/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, or 3D geometry
Experience in leading teams interfacing with HW (sensors, silicon) teams in setting requirements and product tradeoffs
Experience shipping computer vision technology into hardware products.
