AI Software Engineer Intern
Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 13, 2026. ABB scores A on the Alion truth index.
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 LeadCompany 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.