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Robotics Engineer

Job Title: Robotics Engineer
Contract Type: Permanent
Location: Shibuya-ku, Japan
Industry:
IT
Salary: 7000000 - 10000000
Reference: 9774
Contact Name: Dana Greenfield
Job Published: March 06, 2018 09:00

Job Description

As a member of the Robotics Engineering Team, you'll work closely with software engineers and researchers on a diverse and stimulating range of projects including: designing robotic architectures, developing cutting edge algorithms and prototype applications, providing software design and programming support, along with implementing full robotic solutions. 

A passionate and engaging culture, combining the best of academia and product-led environments, providing a balance of structure and flexibility. The company approach encourages collaboration across all groups within the research team, leading to creativity and innovative breakthroughs at the forefront of robotics.

 

Responsibilities

  • Provide software design and programming support to research projects
  • Report and present software developments including status and results clearly and efficiently both internally and externally, verbally and in writing
  • Architect and implement software libraries
  • Design, build and integrate robotic systems

 

Requirements

Minimum Qualifications

  • BSc/BEng degree in computer science, engineering, robotics, or equivalent (MSc/MEng preferable).
  • Expert in C/C++, with strong command of CS fundamentals
  • Experience with at least one script language such as Lua, Python or Matlab
  • Self-motivated learner
  • Experience with robotics-related algorithms such as:
    • computer vision
    • control theory
    • sensor fusion
    • path planning

Plus points for any of the following

  • Experience developing robotic architectures (ROS)
  • Experience with GPU Programming (CUDA, OpenCL)
  • Experience with embedded microcontrollers and device interfacing
  • Knowledge of Ethernet, Serial, CAN, FlexRay and other network protocols and their usage
  • Broad familiarity with the fundamentals of electrical, mechanical, and computer engineering
  • Strong math and physics foundation
  • Strong debugging skills
  • Interest in machine learning and AI
  • Experience using machine learning platforms, tools and libraries (such as Tensorflow, Caffe, Kubernetes, Docker, Chainer, Ansible, Logstash, Amazon AWS, Google Cloud, etc.