Responsibilities
Lead and mentor the engineering team, fostering their growth and helping them achieve impactful results Promote engineering and operational quality by establishing metrics and processes for continuous assessment and improvement Facilitate cross-functional communication with various teams, organizations, and stakeholders to advance engineering initiatives Collaborate with partners across hardware, electrical, mechanical, software, optical, and ML domains to understand the system architecture necessary for infrastructure development Leverage technical expertise and cross-functional relationships to set strategic engineering goals, intermediate milestones, and drive progress on these goals Use strategic influence and cross-functional relationships to drive progress on goals Recruit engineers by identifying talent gaps and the necessary individuals to fill them Develop career plans, manage performance, and conduct performance reviews
Qualifications
BS/Masters in Computer Science, Engineering, Physics or equivalent practical experience 8+ years or PhD + at least 4 years, of experience in leading teams productizing machine perception technologies (i.e., computer vision, deep learning, sensors and robotics) 2+ years of experience in managing a team of engineers of varied skill levels Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management Experience supporting, coaching, mentoring, and developing software engineers Experience with Computer vision, Machine Learning, Statistics, applied mathematics, data science Experience partnering with research scientists Experience in transferring research to production
