20 beste Stellen als lead machine learning engineer in münchen, by – aktuell auf Personalsuche

Plasma Edge Transport Physicist
Proxima Fusion —München
- Vollzeit
- C++
- Python
Senior Research Scientist, Robotic Foundation Models
Intrinsic —München
- 128.000 € – 131.200 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- C++
Microelectronic System and Packaging Mold Flow Simulation Engineer
onsemi —München
- Vollzeit
- Doktorat
- CAD
- Master
R&D Engineer – AI Integration (m/f/d)
Advantest —München
- Azure
- Informatik
- Datenanalyse
Internship _ September 2026 Intake
Terra Quantum —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Forschungserfahrung
- Master
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —München
- 106.000 € – 109.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
8 Tage
Field Deployment Manager (m/f/d)
RobCo —München
- Vollzeit
- Mit Reiseanteil
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
Senior Research Engineer, Data Engine
Intrinsic —München
- 128.000 € – 131.200 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- C++
Staff Data Scientist - Trading (m/f/d)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- AWS
- Machine Learning
Direkt bewerben
Senior Systems Software Engineer
Terra Quantum —München
- C++
- APIs
- Führungserfahrung
Computational Physicist
Proxima Fusion —München
- Vollzeit
- Doktorat
- Master
- C++
Technical Account Manager - Commercial Vehicles (m/f/d)
MathWorks —München
- Bachelor
- Ohne Hochschulabschluss
- Mit Reiseanteil
Group Lead AI Engineering - RoboGym (Mensch)
Neura Robotics GmbH —München
- Vollzeit
- Azure
- Informatik
- Englisch
(Junior) Mechanical Engineer (m/f/d)
RobCo —München
- Vollzeit
- CAD
- Master
- Montage
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Big Data Architect
Aliz —München
- Vollzeit
- Java
- Machine Learning
- Führungserfahrung
Software Program Manager (C++ / Linux / RTOS) - semiconductor industry
Applied Materials —Feldkirchen
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Informatik
- C++
- Mit Reiseanteil
Sales Development Representative (AI Startup)
Deltia —München
- 40.000 € – 50.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Vertrieb
- Produktion
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Solution Engineer (f/m/d)
ClearOps GmbH —München
- Vollzeit
- Bestandsmanagement
- DevOps
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
Consulting Manager (m/f/d) Data & AI Strategy
Artefact —München
- Vollzeit
- Informatik
- Master
- Bachelor

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Plasma Edge Transport Physicist

Proxima Fusion
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Fortran
C++
Physik
Python

Vollständige Stellenbeschreibung

WHO WE ARE

At 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.

What’s more, 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.

To fully grasp this huge opportunity, we’re building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world.

WHY JOIN PROXIMA FUSION

Work on some of the most critical physics challenges that govern the conceptual viability and optimal performance of steady state fusion reactors.
Advance the next generation of edge transport physics models (including turbulent transport characterisation, drift effects, and impurity migration) required for reactor-relevant stellarator exhaust solutions.
Apply state-of-the-art numerical models directly to hardware design decisions with reactor-scale impact.
Contribute to the European initiative leading the critical path to a fusion power plant.
Work alongside talented, mission-driven experts in a supportive, ambitious environment that is building real devices, not just reactor concepts.

YOUR IMPACT

You will tackle one of the defining challenges of stellarator reactors: controlling the plasma edge and exhaust in a complex 3D magnetic topology. By advancing the physics and design of the divertor, baffling, and first wall geometry, you will enable robust heat and particle exhaust - safely managing helium ash, impurities, and extreme power loads under reactor-relevant conditions.

You will develop and apply state-of-the-art (and beyond) theoretical and computational models of the edge and Scrape-Off Layer, addressing non-linear multi-physics dynamics across plasma transport, equilibrium ExB flows, neutral interactions, molecular recombination, and impurity behaviour. Grounded in experimental validation and integrated with engineering constraints, your work will directly inform the design of next-generation plasma exhaust systems for commercial fusion.

This is an opportunity to turn frontier edge physics into reactor-ready solutions and help close the gap between today’s modelling capability and the needs of fusion power.

WHAT YOU WILL DO

As an edge transport physicist at Proxima, you will play a central role in efforts to model and design the edge and Scrape-Off Layer of real-world machines that are necessary steps on the path towards commercial fusion power.
You will develop and apply theoretical and computational models that surpass the state of the art, closing key gaps in turbulent transport, equilibrium ExB flows, molecular recombination, and impurity behaviour in the stellarator edge.
Your results and design strategy will be grounded by experimental insights, before being integrated into the design of next generation plasma exhaust systems.
Your work will involve close engagement with engineers to ensure compatibility with overall device design and reactor-relevant operating scenarios.

WHO YOU ARE

Hold a postgraduate degree in plasma physics.
Strong experience in edge transport and a clear interest in translating physics understanding into a practical plasma exhaust strategy.
Bring experience using simulation and modeling to inform the geometry and operational limits of high-heat-flux systems.
Are comfortable working across disciplines, collaborating directly with engineers to frame open-ended design challenges, proposing solutions, testing ideas, and iterating quickly.
Proficient in scientific programming languages (Python, Julia, C++, and/or Fortran).
Take initiative, communicate clearly, and are motivated by building systems that will define the future of fusion energy.

INTERVIEW PROCESS

Recruiter Interview (30-60 min)
Technical Screening (30 min)
Technical Panel (3x60 min)
CEO call (30 min)
This role sits at L3 of our framework, please inquire during the recruitment process for further information.

At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don’t look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.

Jetzt bewerben

Erweiterte Suche

lead machine learning engineer Jobs in münchen, by

Plasma Edge Transport Physicist

Senior Research Scientist, Robotic Foundation Models

Microelectronic System and Packaging Mold Flow Simulation Engineer

R&D Engineer – AI Integration (m/f/d)

Internship _ September 2026 Intake

Software Engineer III, AI/ML, Gemini Integration/Customisation

Field Deployment Manager (m/f/d)

Group Lead AI Engineering - RoboGym (Mensch)

Senior Research Engineer, Data Engine

Staff Data Scientist - Trading (m/f/d)

Senior Systems Software Engineer

Computational Physicist

Technical Account Manager - Commercial Vehicles (m/f/d)

Group Lead AI Engineering - RoboGym (Mensch)

(Junior) Mechanical Engineer (m/f/d)

Big Data Architect

Software Program Manager (C++ / Linux / RTOS) - semiconductor industry

Sales Development Representative (AI Startup)

Solution Engineer (f/m/d)

Consulting Manager (m/f/d) Data & AI Strategy

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning engineer in münchen, by erhalten

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