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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:
- 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. - 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. - Build, debug and commission AI consultation models for fault diagnosis & process optimization relying
on industry knowledge bases, support for robot operation, maintenance & production. - Deploy algorithm into industrial robot application scenarios, resolve on-site technical issues, and
compile standardized technical documents.
Job Requirements:
- Bachelor’s degree or above, majoring in Mathematics, Computer Science, Automation, Robotics
Engineering or related fields; solid foundation in mathematics and algorithms. - Minimum 2 years of working experience in AI algorithm; candidates with experience in industrial
robotics / smart manufacturing are preferred. - 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. - Competent in knowledge base structuring, vectorization and Retrieval-Augmented Generation (RAG)
construction. - 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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ABBについて

ABB
PublicABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.
10,001+
従業員数
Zurich
本社所在地
$28.5B
企業価値
レビュー
3.5
3件のレビュー
ワークライフバランス
3.0
報酬
2.0
企業文化
2.5
キャリア
3.5
経営陣
2.0
35%
友人に勧める
良い点
Award ceremonies and achievement recognition
Professional experience opportunities
Relevant marketing and writing experience
改善点
Awards only recognize sales and leadership teams
Auxiliary departments excluded and understaffed
No cost of living raises provided
給与レンジ
405件のデータ
Mid/L4
Senior/L5
Mid/L4 · Project Manager
102件のレポート
$117,433
年収総額
基本給
$109,179
ストック
-
ボーナス
$8,254
$79,130
$175,443
面接体験
5件の面接
難易度
3.8
/ 5
期間
14-28週間
内定率
20%
体験
ポジティブ 0%
普通 60%
ネガティブ 40%
面接プロセス
1
Application Review
2
Phone Screen
3
Technical Interview
4
System Design/Panel Interview
5
Onsite/Final Round
6
Offer Decision
よくある質問
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
Problem Solving
ニュース&話題
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·
2d ago
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News
·
3d ago



