西门子西门子数字化工业集团 物理AI DevOps & 智能工程开发工程师

任职要求

As a DevOps & Agentic Engineering Developer (f/m/d) , you will help accelerate the development and operation of our Physical AI stack for China. You will work together with the existing Suzhou Physical AI team and contribute to a modern engineering environment for Level 2 robotics skills, including:
•	picking and placing applications
•	motion-planning related components
•	robotics drivers and connectivity integration
•	software quality, automation, observability, and deployment enablement
This role combines modern DevOps and platform automation practices with emerging agentic AI-assisted engineering methods. You will help the team build faster, test smarter, integrate more reliably, and improve productivity across software delivery and platform operations.
If you like automation, CI/CD, developer productivity, testing, infrastructure, and AI-assisted engineering workflows — and you want to apply them in a cutting-edge robotics environment — this role offers plenty to build.

Key responsibilities
•	Building and maintaining CI/CD pipelines for robotics software, platform services, and connectivity components
•	Improving developer productivity through automation, reusable engineering workflows, and efficient build/test/deploy setups
•	Establishing observability capabilities such as logging, metrics, tracing, and diagnostics for robotics and integration-heavy software stacks
•	Supporting quality engineering with automated test pipelines, validation tooling, and release readiness checks
•	Helping structure environment management, artifact handling, and reproducible development workflows across local and global teams
•	Applying AI-assisted and agentic engineering approaches to code generation, documentation, test automation, troubleshooting, and quality improvement
•	Supporting deployment and integration of robotics software components in lab, pilot, and customer-oriented environments
•	Collaborating with developers and architects to improve maintainability, reliability, and engineering velocity
•	Contributing to DevOps practices and secure software delivery
•	Helping create a scalable engineering setup that supports future growth of the Suzhou Physical AI team

Required Qualifications
•	Degree in Computer Science, Software Engineering, Automation, or a related field, or equivalent practical experience
•	Studying abroad is a plus. but not required.
•	5+ years experience in DevOps, platform engineering, build/release engineering, or software automation
•	Hands-on experience with CI/CD tooling, scripting, source control workflows, and test automat…

工作职责

N/A