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 automation
- Familiarity with containerized development, infrastructure automation, or cloud/native engineering patterns
- Good software engineering understanding and ability to work closely with developers on code, tooling, and debugging
- Interest in or experience with AI-assisted engineering and agentic tooling for developer productivity
- Practical problem-solving mindset and comfort in fast-moving engineering environments
Preferred qualifications
- Experience with robotics software pipelines, simulation/test automation, or hardware/software integration environments.
- Experience working with vision models and VLAs.
- Familiarity with Python and modern development toolchains
- Experience with observability stacks, release automation, or platform diagnostics
- Exposure to industrial software delivery, edge environments, or hybrid deployment models
- Experience with AI coding assistants, test-generation tools, or agentic workflow tools
- Experience working at a multinational corporation (MNC) is a plus.
Languages
- Fluency in English and Chinese
- German is a plus, but not required
Ways of working
- You are proactive, collaborative, and highly execution-oriented
- You enjoy reducing friction for engineering teams
- You can work independently while staying aligned with broader architecture and product needs
- You are curious about new methods and willing to improve engineering practices continuously
What we offer you
- Attractive remuneration package aligned with local market conditions
- Flexible working models where applicable
- Continuous learning and technical growth in DevOps, robotics software, AI-assisted engineering, and industrial platforms
- Opportunity to help define the engineering backbone of a strategically important robotics team
- Collaboration with local and global experts across robotics, software, and industrial AI
- Innovative environment focused on real industrial use cases and customer impact
The individual benefits are subject to local regulatory, contractual, or corporate conditions.
About us
At Siemens Digital Industries Factory Automation, we are building the software and automation capabilities that enable the next generation of intelligent manufacturing. In Smart Robotics, engineering excellence is a critical differentiator. This role helps create the development, validation, and automation environment needed to build robust robotics solutions for the China market and beyond.
If you want to help engineering teams move faster and smarter while working close to real robotics applications, we look forward to meeting you.
