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Spray Painting Technician / Engineer
Send your CV and cover letter to hr@transformarobotics.com and easadi@transformarobotics.com
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
easadi@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:
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Develop robust and reliable software in ROS that integrates knowledge gathering, planning, and dispatch algorithms for a construction service robot
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Design and implement combined task planning and motion planning algorithms for a robotic arm in both Cartesian and Joint Spaces
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Develop a user-friendly interface according to the system requirements
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Product software integration, debugging, configuring and testing
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Documentation -- technical reports, program codes and product manuals
Job Requirements
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M.S. or Ph.D. degree in CS, EE, ME or related fields
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Strong interest in robotics, service robots and automation - Love robots!
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Experience in robotic arm motion planning and one more areas: software system Integration and testing, robot vision, mechatronics
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Strong Proficiency in Programming using C++, Python and experience with Linux
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Knowledge and experience in ROS and packages such as Moveit, OpenRave and …
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Demonstrated ability to work effectively in a small team with fast development cycles
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Effective oral and written communication skills in English
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Familiarity with computer vision, perception and related libraries such as PCL and/or OpenCV would be an advantage.

ROLES:
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Develop algorithms for surface crack detection based on RGB images, color tone difference analysis
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Develop and implement algorithms on 3D reconstruction based on images and point cloud data
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Implement full software development: integration, debugging, configuring, testing and deployment
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Prepare documentations such as technical reports, product manuals, etc
REQUIREMENTS:
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A Ph.D. or Master’s Degree in related discipline
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Demonstrable and relevant experience in solving computer vision problems
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Solid knowledge on computer vision, image processing, pattern recognition and the relevant libraries (OpenCV, PCL, etc)
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Proficiency in programming using C++, python
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Knowledge and experience in ROS and Linux
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Familiar with deep learning algorithms and libraries
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Good team player with excellent communication and interpersonal skills

ROLE:
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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)
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Developing algorithms for 3D perception and advanced (visual and data) parsing of indoor architectural point clouds into their semantic features
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Detect specific objects like multi-surfaces, intersection, corners, windows, pipes, etc. on the point cloud a
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Classify detection results to the ontology of objects and 3D layout/geometry of each object
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Development, verification and integrated implementation of software in Robot Operating System (ROS)
QUALIFICATIONS:
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M.S. or Ph.D. degree in CS, EE, ME or related fields
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Strong interest in robotics, computer vision and robot vision
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Experience with depth/point-cloud data processing and 3D reconstruction is desired
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Experience in 3D perception (3D geometry)
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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
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Strong Proficiency in Programming using C++, Python and experience with Linux
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Knowledge and experience working with libraries such as PCL and OpenCV, as well as working with Robot Operating System (ROS) and related packages
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Familiarity with deep learning neural network libraries and/or GPU programming would be an advantage.