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Sen. Digital Solution Engineer. Special.

ABB

Sen. Digital Solution Engineer. Special.

ABB

Shanghai, Shanghai, China

·

On-site

·

Full-time

·

1w ago

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 Soft Bank Group to acquire ABB Robotics. Soft Bank 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:

Digital Eco System Manager:

Position Overview:

Implement AI algorithms on industrial robots for predictive algorithm optimization, industrial process data
analysis, build up AI diagnosis consultation models.

Job Responsibilities:

  1. Iterate robot predictive algorithms based on pre-trained large model frameworks; develop and deploy
    algorithms for robot status prediction, early warning, and service life estimation.
  2. Collect and analyze industrial process parameters (e.g., welding, assembly) and equipment fault data
    of robots, diagnosis and optimization, tap the value of industrial production data.
  3. Build, debug and commission AI consultation models for fault diagnosis & process optimization relying
    on industry knowledge bases, support for robot operation, maintenance & production.
  4. Deploy algorithm into industrial robot application scenarios, resolve on-site technical issues, and
    compile standardized technical documents.

Job Requirements:

  1. Bachelor’s degree or above, majoring in Mathematics, Computer Science, Automation, Robotics
    Engineering or related fields; solid foundation in mathematics and algorithms.
  2. Minimum 2 years of working experience in AI algorithm; candidates with experience in industrial
    robotics / smart manufacturing are preferred.
  3. Proficient in machine learning and deep learning algorithms; familiar with pre-training and fine-tuning
    of large models. Experienced in time-series data modeling, industrial large model evaluation &
    deployment & online iteration & performance optimization for fault diagnosis and process parameter
    optimization scenarios, as well as multi-source industrial data fusion; skilled in relevant development
    tools.
  4. Competent in knowledge base structuring, vectorization and Retrieval-Augmented Generation (RAG)
    construction.
  5. Strong logical thinking and on-site industrial problem-solving capabilities; self-motivated and proficient
    in cross-department collaboration

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 Soft Bank Group to acquire ABB Robotics. Soft Bank 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.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

$28.5B

Valuation

Reviews

3.5

3 reviews

Work-life balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total per year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving