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Specially looking for talented candidates

• In a fast-paced environment

• To test, optimize, verify, deploy and maintain novel spray-painting systems/methods in construction

• Aptitude in using appropriate spraying tools such as spraying gun, roller/brushes, sand paper & etc

To apply for the position, please send a cover letter together with your CV to: hr@transformarobotics.com

Job Description;

- Proven experience in Spray Painting

- Excellent knowledge of painting material, spray painting tools/nozzles, colour matching, and applying that in manufacturing and/or construction:

* Equipment select/set up – tip/nozzle, air/fluid pressure, etc.

* Application – spray technique – edging, spot-priming, etc.

* Application rate – wet-film-thickness/ dry-film-thickness

* Drying/curing requirements and conditions

* Surface preparation –cleaning, profile, etc.

* Paint preparation – mixing/thinning, viscosity

* Handling/assembly/maintenance or pack-out procedures

- Aptitude in using appropriate spraying tools such as spraying gun, brushes, sand paper & etc.

- Familiar with spray painting techniques, touching up on defects, removing scar/ scratches & etc.

- On-site preparation such as protection work before spraying, or filling cracks or holes with appropriate material.

- Knowledge of Spray Guns/Pumps, by Nordson and/or Graco, and Robotic Spray-Painting methods will be an added advantage.

- International and China travel will be required from time to time.

- Speaking both Chinese and English is required.

Desired Skills:

* Previous work experiences in Spray Painting is needed.

* Diploma or Degree in Engineering welcome to apply.

* Ability to read and follow measurements and instructions.

* Attention to detail.

* Good communication skills

* Ability to work with little supervision, and ability to work in a team environment.

* At least 1 year of hands on experience

* Ability to achieve high performance goals with changing work directions

* Good mechanical aptitude

Competencies:

* Action Oriented

* Ethics and Professionalism

* Learning on the Fly

* Positive Attitude

* Effective Team Work

You should be well versed in state-of-the-art, robotic arm motion planning algorithms, and has deployed them on real robotic hardware. You will be responsible for the development and refinement of combined task and motion planning of a mobile robotic arm in both Cartesian and joint space. You will be part of the core R&D team and will develop and test robust and deliverable software in Robot Operating System (ROS) that integrates the arm motion planning solutions with knowledge gathering and dispatch algorithms for a construction service robot.

Duties:

• Develop robust and reliable software in ROS that integrates knowledge gathering, planning, and dispatch algorithms for a construction service robot

• Design and implement combined task planning and motion planning algorithms for a robotic arm in both Cartesian and Joint Spaces

• Develop a user-friendly interface according to the system requirements

• Product software integration, debugging, configuring and testing

• Documentation -- technical reports, program codes and product manuals

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Job Requirements:

• M.S. or Ph.D. degree in CS, EE, ME or related fields

• Strong interest in robotics, service robots and automation - Love robots!

• Experience in robotic arm motion planning and one more areas: software system Integration and testing, robot vision, mechatronics

• Strong Proficiency in Programming using C++, Python and experience with Linux

• Knowledge and experience in ROS and packages such as Moveit and OpenRave

• Demonstrated ability to work effectively in a small team with fast development cycles

• Effective oral and written communication skills in English

• Familiarity with computer vision, perception and related libraries such as PCL and/or OpenCV would be an advantage.
  
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ROLES:

• Develop algorithms for surface crack detection based on RGB images, color tone difference analysis

• Develop and implement algorithms on 3D reconstruction based on images and point cloud data

• Implement full software development: integration, debugging, configuring, testing and deployment

• Prepare documentations such as technical reports, product manuals, etc

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REQUIREMENTS:

• A Ph.D. or Master’s Degree in related discipline

• Demonstrable and relevant experience in solving computer vision problems

• Solid knowledge on computer vision, image processing, pattern recognition and the relevant libraries (OpenCV, PCL, etc)

• Proficiency in programming using C++, python

• Knowledge and experience in ROS and Linux

• Familiar with deep learning algorithms and libraries

• Good team player with excellent communication and interpersonal skills

ROLE:

• Design and development of advanced robotic software for indoor scene reconstruction using 3D sensors (TOF Camera, LiDAR, visual sensor) and fast processing of 3D data (e.g. point clouds)

• Developing algorithms for 3D perception and advanced (visual and data) parsing of indoor architectural point clouds into their semantic features

  • Detect specific objects like multi-surfaces, intersection, corners, windows, pipes, etc. on the point cloud a

  • Classify detection results to the ontology of objects and 3D layout/geometry of each object

• ​Development, verification and integrated implementation of software in Robot Operating System (ROS)

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QUALIFICATIONS:

• M.S. or Ph.D. degree in CS, EE, ME or related fields

• Strong interest in robotics, computer vision and robot vision 

• Experience with depth/point-cloud data processing and 3D reconstruction is desired

• Experience in 3D perception (3D geometry)

• Expertise in one or more of the following areas: applying state-of-art machine learning algorithm, software system Integration and testing, image processing, robot vision

• Strong Proficiency in Programming using C++, Python and experience with Linux

• Knowledge and experience working with libraries such as PCL and OpenCV, as well as working with Robot Operating System (ROS)  and related packages

•  Familiarity with deep learning neural network libraries and/or GPU programming would be an advantage.