Careers

Mastery, Autonomy, and Purpose — the three pillars of our work.

We work with trust and respect for each other and rely on independent responsibility. We invest in each other's skill development and keep the cadence that makes research-driven engineering possible.

Why join us

Research-focused work in close proximity to TUM
Professional growth in current AI tech
Premium hardware and corporate benefits
Flexible scheduling and hybrid model

"There are many interesting tasks, every day is a new adventure, in a very flexible work environment with a family-like atmosphere"

— Gerhard Reinerth, AI Engineer

Open positions

Working Student (m/f/d) — Applied AI Engineer

Garching near MunichWorking student · 15–20 h/weekFlexible start date · duration aligned with semester schedule (extension possible)
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Responsibilities

  • Product development: Active advancement of our own software, with a special focus on AI Agents Interviewer.
  • AI Testing & Tools: Support in the development of internal AI tools for systematically testing AI agents.
  • Customer projects: Co-creation, implementation and delivery of exciting, customized AI projects as well as taking on independent development tasks.
  • Data Engineering: Assistance with preparation, cleaning and analysis of data for training and fine-tuning our AI models.
  • Quality Assurance: Performing software tests and thorough documentation of results to ensure our high quality standards.

Requirements

  • Currently enrolled student with very good programming skills in Python as well as experience with Rust.
  • Practical experience working with LLMs and context engineering (e.g., RAG, Prompt Design).
  • Knowledge of common AI frameworks, ideally Langchain, n8n, and CrewAI.
  • Confident handling of Linux environments.
  • Experience with container technologies such as Docker or Podman.

Bachelor's Thesis (m/f/d) — Automated Vegetation Diagnostics

Garching near MunichBachelor's thesis · GreenView research projectFlexible
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Climate change is making Europe's forests — spruce in particular — more and more vulnerable to bark beetles, and once an infestation spreads, the ecological and economic damage can be severe. In our GreenView research project, we fly drones with multispectral cameras that capture RGB plus the red, green, red-edge and near-infrared bands. The goal: spot vulnerable or already infested trees early. In your thesis, you'll build an automated method that finds exactly these candidate trees in our drone images.

Sounds like you? Send us your CV, your transcript of records and anything that shows what you can do — a link to your GitHub profile, for example — to jobs@dromni.eu. We're looking forward to hearing from you!

What it's about

  • Spatial mapping: Use the image metadata to work out spatial coordinates and map corridors of candidate trees.
  • Image analysis: Dig into standard RGB and calibrated multispectral images from our drone flights.
  • Feature detection: Use spectral signatures and visual cues — like discolored needles — to pinpoint affected trees.
  • Data integration: Make your approach work on single drone images as well as on stitched orthomosaics.

What you'll do

  • Research: Find out what the state of the art can do, pick the most promising approach and take it further.
  • Alignment and calibration: Calibrate the multispectral images, align them with the RGB images, and compare sun-sensor calibration with calibration against a calibration panel.
  • Candidate identification: Figure out which trees are susceptible to bark beetles, look for indicators in RGB and multispectral images, and mark candidates with bounding boxes or segmentation.
  • Neural network training: Train your own network on an existing architecture — with training data you generate using SAM (Segment Anything).
  • Implementation: Implement the network architecture in Python.
  • Quality assurance: Write tests, and document your code and results.

What you bring

  • You're a student — at TUM CIT, for example — and get excited about research and new technology.
  • You've already written a fair amount of Python.
  • You've worked with PyTorch, JAX or TensorFlow.
  • You know the basics of neural networks (CNNs, ANNs).
  • You're at home in git and know what CI/CD is good for.
  • Bonus: You've already containerized something with Docker or Podman.

What we offer

  • Close to campus: Our roots are at TUM's Chair of Astronautics, and we're still closely connected to its successor, the Chair of Astrodynamics. We're research-driven, our office is close to the TUM research campus in Garching — and you'll see first-hand how research turns into a product.
  • Learn from the team: Work side by side with our developers, who are happy to share what they know — from computer vision and AI to robotics.
  • Flexibility: Plan your hours your way, work remotely or come by the office — drinks, snacks and coffee included.
More about GreenView

AI Engineer (m/f/d) — AI & Agentic Workflows (Initiative application)

Garching near MunichFull-time · 32–40 h/week · HybridFlexible
Details →

We are always looking to strengthen our team. Initiative applications as AI Engineer are welcome at any time — send your documents to jobs@dromni.eu.

Responsibilities

  • Customer projects: Co-creation, implementation and delivery of exciting, customized AI projects as well as taking on independent development tasks.
  • Product development: Active advancement of our own software.
  • AI Testing & Tools: Support in the development of internal AI tools for systematically testing AI agents.
  • Data Engineering: Assistance with preparation, cleaning and analysis of data for training and fine-tuning our AI models.
  • Quality Assurance: Performing software tests and thorough documentation of results to ensure our high quality standards.
  • Communication: Gathering customer specifications and goal-oriented presentation of results in German and English.

Requirements

  • Several years of solid experience in software development (Fullstack) in Python as well as experience with Rust.
  • Practical experience working with LLMs and context engineering (e.g., RAG, Prompt Design).
  • Knowledge of common AI frameworks, ideally Langchain, n8n, and CrewAI.
  • Confident handling of Linux environments.
  • Experience with DevOps such as Docker, Podman, Gitlab, or CI/CD.
  • High level of self-motivation and pioneering spirit; independent way of working.
  • First projects with Claude Code and OpenClaw are desirable.

Students, Internships and Thesis

Garching near MunichInitiative applicationFlexible
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We are always looking for interested, talented and motivated students for internships and student thesis. Send us your initiative application to jobs@dromni.eu or use the form below.

Apply

Send us your CV and a short note about what you want to work on.

jobs@dromni.eu