Software Engineer - Applied AI (m/f/d)
At a glance
Mid-level AI Engineering role at Emerson Career Site. Dresden · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Work with measurement engineers, data scientists and customers to address problems specific to testing and measurement
- Turn AI and machine-learning methods into measurement applications, including data interpretation, test improvement and automation
- Build quick prototypes to check whether an approach is technically viable and useful to customers
- Contribute code that informs platform and architecture choices, and establish practices for reliable, maintainable AI
What you bring
- A master's, Dipl.-Ing. or PhD qualification in computer science, AI, software or communications engineering, IT, or a related area
- Applied AI experience through projects, internships, research or personal work, including areas such as LLMs, RAG or agent workflows
- Python software development experience, with knowledge of data or machine-learning libraries such as Pandas, NumPy or Scikit-Learn
- A solid software engineering base covering APIs, design, testing and version control
Who this fits
This role suits an experienced engineer or recent graduate who is curious about trying emerging AI methods on practical engineering problems. You’ll collaborate across disciplines and contribute hands-on to software and architecture decisions. The position is based onsite in Dresden, Germany.
From the employer
- Work closely with measurement engineers, data scientists, and customers to solve test and measurement domain-specific problems
- Translate AI, ML, and agentic workflows into concrete measurement use cases (e.g., AI-assisted interpretation of complex measurement data, test optimization, & automation)
- Validate technical feasibility and customer impact through rapid prototyping
- Influence platform and architecture decisions through hands-on contribution
- Set best practices for applied AI quality, reliability, and maintainability
You thrive on challenges and bring a proactive, “can-do” attitude to every project, consistently taking ownership to drive results. You’re excited to explore and experiment with new AI capabilities, embracing emerging technologies with curiosity and a willingness to try them in practice.
- Master’s degree / Dipl.-Ing., or PhD degree in Computer Science, Artificial Intelligence, Software / Communications Engineering, Information Technology, or a related field
- Hands-on experience applying AI technologies such as LLMs, prompt engineering, retrieval-augmented generation (RAG), AI evaluation, or agentic workflows gained through academic projects, internships, research, or personal projects
- Experience developing software in Python and proficiency with common data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, or PyTorch
- Strong foundation in software engineering, including Python development, APIs, software design, testing, and version control
- Curiosity to learn new technologies and apply them to solve real-world engineering challenges
- Excellent communication skills and ability to collaborate within multidisciplinary teams
Preferred Qualifications That Set You Apart:
- Hands-on experience with measurement systems, test automation, or engineering data analysis
- Experience in test & measurement or engineering domains beyond software
- Experience deploying, monitoring, or evaluating AI solutions
- Knowledge of RF or wireless communication systems
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.