20 beste Stellen als lead machine learning engineer in bayern – aktuell auf Personalsuche

Senior Research Engineer, OmniDreams and Alpasim
NVIDIA —München
- Vollzeit
- Machine Learning
- APIs
Plasma Material Interaction Engineer
Proxima Fusion —München
- Vollzeit
- C++
- Python
Projekt Manager in Residence – Autonomous Defense Systems (m/f/d)
autonomous-teaming —München
- Vollzeit
- Projektmanagement
- Agile
- Führungserfahrung
Direkt bewerben
Fusion Scientist, Scenarios and Integrated Modeling
Proxima Fusion —München
- Vollzeit
- Doktorat
- Recruiting
- Python
Principal Field Engineer
Cognite - AI for Industry —München
- Azure
- Informatik
- PMP
Direkt bewerben
4 Tage
Senior Data Engineer (F/M/D)
Animore —München
- Vollzeit
- Englisch
- AWS
- Python
Direkt bewerben
Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich
Mistral AI —München
- Vollzeit
- Azure
- Doktorat
- Informatik
10 Tage
Electrical Systems Lead Engineer (f/m/d) for Execution of Power Plant Projects
Siemens Energy —Erlangen
- Vollzeit
- Master
- Bachelor
- Elektrotechnik
Data/Robot Operator (Teleops)(human)
Neura Robotics —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
2 Tage
Plasma Edge Transport Physicist
Proxima Fusion —München
- Vollzeit
- C++
- Python
Manufacturing Engineer (Temporary ITER Secondment Program)
Proxima Fusion —München
- Vollzeit
- Microsoft Office
- Master
- Montage
8 Tage
Senior Data Scientist - Dispatch (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
13 Tage
Senior Software Engineer (Dev Platform)
Proxima Fusion —München
- Vollzeit
2 Tage
Integration Engineer, Building Services & MEP (Mechanical, Electrical and Plumbing)
Proxima Fusion —München
- Vollzeit
Senior Applications Engineer / Erfahrener Applikationsingenieur
Synopsys —München
- Informatik
- C++
- Softwareentwicklung
Head of Data Science
Flexa —München
- 140.000 € – 200.000 € pro Jahr
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Senior Research Engineer, Data Engine
Intrinsic —München
- 128.000 € – 131.200 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- C++
Group Lead Data Operations (human)
Neura Robotics —München
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Group Lead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Azure
- Doktorat
- Informatik
Direkt bewerben
Senior Research Scientist, Robotic Foundation Models
Intrinsic —München
- 128.000 € – 131.200 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- C++

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lead machine learning engineer jobs near bayern

Senior Research Engineer, OmniDreams and Alpasim

NVIDIA -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Elektrotechnik
Machine Learning
APIs
Debugging

Vollständige Stellenbeschreibung

Computer graphics is moving into a neural-first era. Neural reconstruction techniques like NeRFs and Gaussian Splatting have made it possible to capture real-world scenes with sensor-realistic fidelity; the next step is building systems that can generate, extend, transform, and simulate worlds interactively. NVIDIA is building that future through OmniDreams and AlpaSim. OmniDreams is our real-time diffusion world-model effort. AlpaSim is the simulation system that connects policies, renderers, traffic, physics, and evaluation into a usable closed-loop platform. Together, they point toward a new rendering stack where reconstructed scenes, generated worlds, and simulation enable that vision, “dream it, drive it.”

We are looking for an outstanding Research Engineer to help turn brand-new research into working technology. You will work closely with research teams while staying deeply hands-on: prototyping new model and rendering ideas, making sharp design trade-offs, optimizing performance, integrating with downstream stacks, and building systems that can be evaluated, released, and improved over time. The right person sees research and engineering as the same work at different altitudes, and is motivated by the hard implementation details that make a promising idea usable in practice.

What You'll Be Doing:

Partner closely with research teams to shape neural graphics and world-simulation techniques while the field is still being invented
Build prototypes and production-quality implementations across neural reconstruction, diffusion/world models, rendering, simulation, and real-time inference
Connect generated worlds, reconstructed scenes, controllable simulation state, and downstream evaluation loops into coherent end-to-end systems
Drive performance, latency, memory, temporal consistency, controllability, quality, and developer usability in real-time pipelines
Make principled technical trade-offs across models, renderers, GPU systems, data pipelines, and product constraints
Influence NVIDIA's broader neural graphics direction by grounding frontier ideas in systems that run, scale, and teach us what matters

What We Need to See:

Background in Computer Science, Computer Graphics, Machine Learning, Electrical Engineering, or equivalent practical experience
8+ years of technical experience, or an equivalent record of exceptional technical contribution
Deep hands-on expertise in one or more of: neural rendering, world models, diffusion/video generation, neural reconstruction, computer vision, simulation, or ML systems
Strong implementation skill in real software systems, including debugging, optimization, integration, and performance-aware design
Experience taking research concepts through the lifecycle from prototype to robust, evaluated, production-quality technology
Ability to lead ambiguous, cross-team technical work and communicate the trade-offs behind architectural decisions

Ways to Stand Out from the crowd:

Hands-on work with Gaussian Splatting, NeRFs, differentiable rendering, diffusion models, video generation, controllable world models, or neural content generation
Experience building real-time graphics, simulation, robotics, AV, physical AI, game engine, or media creation systems
Strong point of view on how AI will change entertainment, graphics, media, and interactive content creation
Experience with CUDA, Slang, graphics APIs, real-time engines, GPU performance, or ML inference optimization
Papers, patents, open-source leadership, shipped systems, or field-level technical impact in graphics, AI, simulation, or ML systems

Jetzt bewerben

Erweiterte Suche

lead machine learning engineer Jobs in bayern

Senior Research Engineer, OmniDreams and Alpasim

Plasma Material Interaction Engineer

Projekt Manager in Residence – Autonomous Defense Systems (m/f/d)

Fusion Scientist, Scenarios and Integrated Modeling

Principal Field Engineer

Senior Data Engineer (F/M/D)

Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich

Electrical Systems Lead Engineer (f/m/d) for Execution of Power Plant Projects

Data/Robot Operator (Teleops)(human)

Plasma Edge Transport Physicist

Manufacturing Engineer (Temporary ITER Secondment Program)

Senior Data Scientist - Dispatch (d/f/m)

Senior Software Engineer (Dev Platform)

Integration Engineer, Building Services & MEP (Mechanical, Electrical and Plumbing)

Senior Applications Engineer / Erfahrener Applikationsingenieur

Head of Data Science

Senior Research Engineer, Data Engine

Group Lead Data Operations (human)

Group Lead AI Engineering - RoboGym (human)

Senior Research Scientist, Robotic Foundation Models

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

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