Staff II, Computer Vision Engineer

CoupandMountain View, CA
Hybrid

About The Position

We are building a new Zero-One startup within Coupang focused on in-house development of Robotics and Automation technology to support our fulfillment and logistics network. Global Operations Automation and Robotics Technology is an organization responsible for developing and deploying the most advanced and innovative fulfillment and transportation automation and robotics solutions that will transform Coupang’s fulfillment and logistics network. This is a unique opportunity to join a startup within one of the leading e-Commerce companies in Asia. The team will be based out of Coupang’s offices in Mountain View or Seoul. We are looking for experienced Computer Vision experts. This technology leader will draw from rich experiences and deep expertise in developing and deploying automation solutions using computer vision to define our technology roadmap and lead the design, implementation, and rollout of advanced robotic perception solutions over Coupang’s logistics network. With a startup mindset, this technology leader can operate comfortably under ambiguity, with the opportunity to initially be hands-on while building the computer vision technology and product from ground-up, grow the org and deliver results under time and resource constraints.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field
  • 6 years of experience in backend software development
  • Experience developing and deploying AI, ML for robotic perception systems and logistic automation

Nice To Haves

  • 8+ years of experience in developing and deploying AI, ML, robotic perception solutions with competing priorities and delivering results in a fast-paced environment
  • Working closely with multiple engineering teams from fulfillment and logistics fields, which is mainly operating based on KST time-zone
  • Master or PhD degree in Computer Science, Electronic Engineering, Industrial Engineering, AI, ML, Robotics, Computer Vision, or related discipline with 8+ years of experience in FC and logistic automation using robotic manipulation technologies
  • Demonstrated ability of building, integrating, and delivering highly reliable and automated warehouse systems using AI, ML, computer vision technologies, especially using robotic arm and robotic manipulation solutions
  • In-depth knowledge of real-time AI, ML such as DNN, object detection, tracking, recognition and pose estimation, 3D data processing, 3D object recognition, automated sensor calibration, etc
  • Deep expertise in real-time AI, ML, robotics, robotic manipulation and automation system and technologies
  • Well versed with robotic perception ecosystem including 2D, 2.5D and 3D sensors, real-time computer vision processing platform, libraries and peripherals vendors
  • Proven record of innovation and problem-solving skills, especially in the areas of logistics and fulfillment automation using computer vision and robotic arms
  • Deep expertise in building high quality real-time robotic perception systems including sensor, hardware and software design, code reviews and QA processes

Responsibilities

  • Drive robotic perception technology vision and development roadmap
  • Be the go-to-person for the state-of-the-art computer vision technologies and its application in FC automation
  • Lead design, development, test, and deployment of integrated automation and robotic perception systems, especially for robotic manipulation
  • Working with other members of the engineering team and stakeholders to execute against project plans and delivery commitments within an Agile/Scrum environment
  • Deliver production-quality HW and SW perception systems in order to achieve the scalability, reliability, availability, extensibility, and performance objectives
  • Bring innovative ideas to practice and continuously improve the efficiency, reduce the cost and wow the customers.

Benefits

  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV - [Free] Electric Car Charging Station
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