R&D Test Engineer at ABB

Huangpu District, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Robot Prototype Verification, System Integration Testing, Lifetime Analysis, Failure Mode Analysis, Matlab, Python, Kinematics, Statics & Dynamics, SolidWorks, C#, Mechanical Engineering, Problem Solving

Industry

Automation Machinery Manufacturing

Description

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment. This Position reports to: R&D Team Lead Main Responsibilities · Responsible for robot prototype verification and validation during robot development phase, including but not limited to mechanical test, system integration test. · Responsible for the validation of the lifetime of the robot system, especially the key components including motor, gear, bearing, sealing, cablings etc. Analyze their performance comparing the lifetime, failure mode, etc. · Design and develop the corresponding test solution and test kit to verify the performance and reliability as well as the whole robot system working with design engineer to find the potential risk in original design. · With analytical skills to analyze and find unreliable test results, also provide the correction action and solution. Responsible for analysis of result and test reports. Requirements: · Master degree in mechanical engineering or related field · 3+ Years in mechanical or system test domain. · Experience in mechanical research and design, preferably for motor, gear, sealing, cable etc., especially in the area of lifetime and failure mode analysis. · Good at Matlab/ Python data analysis. · Familiar with Kinematics and Statics & Dynamics. · Familiar with 3D drawing tool like SolidWorks or similarly tools. · Familiar with other programing language like C# is a plus. · Structured thinking and strong problem solving ability. · Team work spirit, collaboration with local and global team. · Good read and write English skill. · Self-motivated and able to work in a project team. At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world This role sits within ABB’s Robotics business, a leading global robotics company. We’re entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Responsibilities

Responsible for the verification, validation, and lifetime analysis of robot prototypes and key mechanical components. This includes designing test solutions and kits to identify design risks and providing corrective actions based on analytical results.