Principal Software Engineer - Applied AI

Emerson; Dresden; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology company in Dresden is seeking a Principal Software Engineer to drive the design and delivery of AI-native backend services. The ideal candidate has over 5 years of software development experience with significant technical leadership responsibilities, particularly in cloud-native environments. You'll collaborate with teams to build AI models and develop solutions for complex engineering challenges. This role offers opportunities for career growth in an inclusive culture that values innovation and collaboration.

Leistungen

Commitment to ongoing career development

Inclusive workplace culture

Encouragement of innovation and collaboration

Qualifikationen

• 5+ years of extensive professional software development experience.
• Hands-on experience building cloud native software.
• Experience in AI deployment & lifecycle management.

Aufgaben

• Contribute across the stack using the latest AI coding tools.
• Rapidly prototype AI-enabled features for diverse use cases.
• Collaborate with cross-functional teams to solve complex customer problems.

Kenntnisse

AI coding tools

Cloud native software

AI integration into workflows

Exceptional communication skills

Ausbildung

Bachelor’s degree in computer science or related field

Master’s or PhD preferred

Tools

Azure

AWS

GCP

Python libraries for ML

Jobbeschreibung

This is a principal-level hands‑on individual contributor role with significant technical leadership responsibilities. You will design and deliver cloud‑native backend services and AI‑enabled capabilities that power our Test & Measurement platform. You will evaluate and adopt modern AI / ML frameworks, architectures, and development methodologies, driving best practices for scalable, high‑quality software and model integration.

In this role, you will also build and evaluate LLM‑driven product features, including prompt engineering, context design, retrieval strategies, and robust LLM integration into user‑facing Test & Measurement workflows. As a senior technical leader, you will guide teams on model usage, quality, reliability, and maintainability.

You will additionally help customers leverage the full value of NI’s data platforms by applying advanced AI and machine learning methods to solve domain‑specific challenges across engineering and industrial IoT applications.

If you thrive on solving technically complex problems, enjoy shaping next generation AI‑native engineering workflows, and want to influence how scientists and engineers build and validate real‑world systems, this role is an excellent fit.

In This Role, Your Responsibilities Will Be:

• Flexibly contribute across the stack as needed, using the latest AI coding tools
• Rapidly prototype AI‑enabled features, iterating from concept → demo → product
• Collaborate with data scientists, machine learning engineers, developers, and sales to solve complex customer problems cross‑org including research and development teams
• Design & develop AI models from research to production, create solutions across diverse use cases, from tabular ML to deep learning, computer vision, analysis, and generative AI
• Continuously learn and develop new skills as you technically lead projects across a variety of use cases as well as AI methodologies, algorithms, and technologies
  

Who You Are:

You thrive on challenges and bring a proactive, “can‑do” attitude to every project, consistently driving results.
You’re committed to learning and mastering new areas and are motivated to take ownership and make things happen.

For This Role, You Will Need:

• Bachelor’s degree in computer science, artificial intelligence, software engineering, or related field; Master’s or PhD preferred
• 5+ Years extensive professional software development experience including technical leadership in complex systems and making high‑stakes architectural decisions
• Hands‑on experience building cloud native software (Azure, AWS, GCP) and using technologies such as ClickHouse or Snowflake
• Hands‑on experience of AI integration into workflows (e.g., prompt/context engineering, RAG, fine tuning, agentic harnesses, building MCP servers, etc.)
• Hands‑on experience using agentic AI coding environments (e.g., GitHub Copilot, Claude Code, Codex, Cursor, Windsurf, etc.)
• Experience in AI deployment & lifecycle (i.e., model deployment, monitoring, evaluation, lifecycle management, etc.)
• Exceptional communication skills with the ability to influence technical strategy across teams and levels

Preferred Qualifications That Set You Apart:

• Understanding and background of software standards and communities, academia and market trends
• Experience in test & measurement or engineering domains beyond software
• Expertise in Python libraries for ML & data, e.g., Pandas, NumPy, Scikit‑Learn, PyTorch
  

Our Culture & Commitment to You:

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.