- Leading an organization comprised of 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 researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
- Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
- Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
- Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
- Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
- Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
- Provide technical leadership and guidance to both your team members and your project peers.
- BS degree in Engineering, Physics, Computer Science or equivalent experience.
- Experience of people management in multi-disciplinary global teams at the intersection of tech and product, including building performing teams and organization.
- 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, driving best practices, and mentoring 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).
- Ms or PhD in a related field of Computer Vision, or AI/Machine Learning in domains related to SLAM/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, or 3D geometry.
- Experience managing joint hardware-software development and associated rapid prototyping projects.
- 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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