AI Software Engineer Intern
ABB is hiring an AI Software Engineer Intern in Shanghai, China. Level rates it ; you can apply on ABB.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and fine tuning.
- Level classifies it as an internship.
- Level lists 2,200+ other open roles at ABB.
- The role was posted in the last few days.
AI in this role
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 Department/Local Unit Lead
Company Overview
ABB Robotics is a leading supplier of industrial and collaborative robots, autonomous mobile robots, and robot software, equipment and complete application solutions. Our China R&D organization develops technologies and software that enable intelligent, flexible and efficient robotic automation.
Job Description
ABB Robotics R&D China is looking for an intern to support AI model evaluation, deployment testing and technical reporting on edge AI computing platforms. You will work with development boards including NVIDIA Jetson Orin NX 16GB, Huawei Atlas 200I and Huawei Atlas 300P, run representative AI models, and support fine-tuning and benchmarking of small models for robotics-related use cases.
Responsibilities
- Set up, configure and maintain edge AI development boards and their software environments.
- Deploy and run different AI models on NVIDIA Jetson and Huawei Atlas platforms.
- Design and execute structured tests covering model accuracy, latency, throughput, memory usage, stability and resource consumption.
- Compare model and platform performance under consistent test conditions, record issues and summarize findings.
- Support data preparation, training and fine-tuning of small AI models, including experiment tracking and result validation.
- Prepare clear test plans, test reports, benchmark summaries and technical documentation.
- Automate repetitive deployment, test and data-processing activities using scripts where practical.
- Collaborate with software and AI engineers to troubleshoot model conversion, runtime and hardware compatibility issues.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Automation, Electronic Engineering or a related field.
- Good Python programming skills; experience with Linux, Git and shell scripting is preferred.
- Basic understanding of machine learning or deep learning, including model training, inference and evaluation.
- Hands-on experience with PyTorch, TensorFlow or similar frameworks is preferred.
- Experience with NVIDIA Jetson, Huawei Ascend/Atlas, CUDA, CANN, ONNX or model deployment is a strong plus.
- Able to perform structured testing, analyze data and write clear technical reports in English or Chinese.
- Careful, self-driven and willing to learn unfamiliar tools and platforms.
- Able to work on-site in Shanghai for at least 3 days per week and preferably commit for 6 months or longer.
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.
How we rate this
AI Software Engineer Intern at ABB rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of PyTorch that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, AI Evaluation, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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