Automation & Knowledge Engineer
Munich
Proxima Fusion
Proxima is a European fusion energy start-up building stellarator fusion power plants.
WHO WE AREAt Proxima Fusion, we're driven by a bold mission – to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants.
Our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets.
We're on a journey to redefine the energy landscape, ensuring a sustainable future for generations to come.
YOUR IMPACTTurn bold ideas into working reality: as our Automation & Knowledge Engineer, you’ll build the scripts, connectors, and workflows that move us to an AI-first company. For new AI workflows, you’re the one who identifies the correct APIs, creates the correct agent, wires the data, and ships the product that everyone starts using the next day.
KEY OUTCOMES (6 months) 1. Median time-to-actionable of any newly generated data ≤ 60 min, at 99% uptime.2. Three flagship automations that collectively save 1,000+ hours per quarter.3. Built a company-wide RAG solution, used by 3 distinct user groups.
Our organizational culture values and promotes equal opportunities for everyone, recognizing that a diverse team brings a richness of perspectives and contributes to our overall success. We encourage and welcome applications from candidates with various backgrounds, talents, and potential. Our selection process is solely based on individual merit, ensuring fair and impartial consideration for all applicants.
Our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets.
We're on a journey to redefine the energy landscape, ensuring a sustainable future for generations to come.
YOUR IMPACTTurn bold ideas into working reality: as our Automation & Knowledge Engineer, you’ll build the scripts, connectors, and workflows that move us to an AI-first company. For new AI workflows, you’re the one who identifies the correct APIs, creates the correct agent, wires the data, and ships the product that everyone starts using the next day.
KEY OUTCOMES (6 months) 1. Median time-to-actionable of any newly generated data ≤ 60 min, at 99% uptime.2. Three flagship automations that collectively save 1,000+ hours per quarter.3. Built a company-wide RAG solution, used by 3 distinct user groups.
WHY JOIN PROXIMA FUSION
- You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world.
- You'll get to join and learn from an exceptional selection of accomplished and driven individuals.
- Do your life’s best work and enjoy the journey.
- Get to show that big things are possible in Europe when you assemble the best talent.
WHAT YOU WILL DO
- Build ingestion & embedding pipelines (Python, Make.com/Zapier/n8n, CI/CD).
- Expose context-rich bots via Slack and simple web UIs.
- Replace no-code solutions with custom code only where it improves robustness.
- Automate technical reports, including those related to safety and regulatory needs.
WHO YOU ARE
- Strong background in software engineering.
- Familiarity with agentic workflow platforms.
- Demonstrated track record: e.g., built a pipeline that processed ≥1 TB/day or an automation suite that removed a team’s manual work.
- Proficiency in Python and one automation platform.
- Comfort with Docker, GitHub Actions, and IaC.
INTERVIEW PROCESS
- Recruiter Interview (30-60 min).
- Technical Screening (30 min).
- Technical Panel (3x60 min).
- CEO call (30 min).
Our organizational culture values and promotes equal opportunities for everyone, recognizing that a diverse team brings a richness of perspectives and contributes to our overall success. We encourage and welcome applications from candidates with various backgrounds, talents, and potential. Our selection process is solely based on individual merit, ensuring fair and impartial consideration for all applicants.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: APIs CI/CD Docker Engineering GitHub Machine Learning Pipelines Python RAG
Region:
Europe
Country:
Germany
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