Computer Vision Engineer

Job Title: Computer Vision Engineer
Contract Type: Permanent
Location: Shibuya-ku, Japan
Salary: 7000000 - 10000000
Reference: 10045
Contact Name: Dana Greenfield
Job Published: March 30, 2018 09:00

Job Description

Our Computer Vision Engineers work closely with Research Engineers, Machine Learning Engineers and Research Scientists on diverse projects including: developing cutting edge algorithms and prototype applications, providing software design and programming support to research projects, evaluating sensors for robots, designing the computer vision subsystem of our intelligent robots. They are the bridge between basic research and implementation, transferring our theoretical results into real world.

 As a Research Engineer, you'll have option to work on different fields and will be able to do a mix of research and engineering tasks.



  • Provide software design and programming support to research projects
  • Report and present software development including status and results clearly and efficiently both internally and externally, verbally and in writing
  • Participate in research, internal R&D
  • Implement, evaluate and report on algorithms, research papers and studies



Minimum Qualifications

  • BS/BEng degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent
  • Experienced in C/C++
  • Experienced in at least one scripting language such as Lua, Python or Matlab and a desire to learn new programming languages
  • Familiarity with software collaboration tools (git, Jira, etc.)
  • Good knowledge of algorithm design and ability to interpret research papers
  • Experienced with computer vision tools (OpenCV, CNNs, etc.)
  • Experience with multiple types of sensors (camera, radar, lidar, IR, spectral, etc.).
  • Knowledge of modern machine learning and/or statistics tools, libraries and software

Plus points for any of the following

  • Experience with GPU Programming (CUDA, OpenCL)
  • Experience with robotics or embedded systems
  • Hands-on experience with cloud infrastructure (such as high-end Nvidia devices, Amazon AWS, Google Cloud, etc.)
  • Hands-on experience with modern machine learning software and tools (such as Tensorflow, Caffe, Kubernetes, Docker, Chainer, Ansible, Logstash, etc.)
  • Published papers or conference talks in relevant fields
  • Contributions to open source projects