20 beste Stellen als simulation engineering in zürich zh – aktuell auf Personalsuche

Machine Learning Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
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Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- C++
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- 100%
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IT'IS Foundation —Zürich, ZH
- Englisch
- Master
- Python
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Infineon Technologies AG —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
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Destinus —Zürich, ZH
- 100%
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Direkt bewerben
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ANYbotics —Zürich, ZH
- Teilzeit
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- Master
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Vontobel Holding AG —Zürich, ZH
- Englisch
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IT'IS Foundation —Zürich, ZH
- Doktorat
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u-blox —Thalwil, ZH
- Doktorat
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- Master
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xorlab AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
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- Englisch
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Direkt bewerben
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ANYbotics —Zürich, ZH
- Überstunden
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ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- 100%
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CSEM SA —Zürich, ZH
- 100%
- Doktorat
- Führungserfahrung
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SoftInWay Inc. —Zug, ZG
- Bachelor
System Engineer
Auterion —Zürich, ZH
- Master
- C++
- Bachelor
- Eltern-/Erziehungsurlaub
- Pensionskasse
Direkt bewerben

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Machine Learning Engineer

Destinus -
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Doktorat
Forschungserfahrung
Master
C++

Vollständige Stellenbeschreibung

About the role

Imagine building intelligent systems that don’t just work in perfect lab conditions, but perform reliably in the real world, where uncertainty is the norm and failure is not an option. As a Machine Learning Engineer, you will push the limits of computer vision by designing, training, and validating neural networks that operate in complex, safety-critical environments. Your work will directly influence how autonomous systems perceive and interact with the world, combining deep learning, simulation, and rigorous verification into one seamless pipeline.

At Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the intersection of advanced research and real-world aviation. Enabling machines to perceive, understand, and make decisions in real time. Together, we combine aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.

What You´ll Do

Design, train, and optimize deep learning models for computer vision tasks in highly dynamic and safety-critical environments
Own the full ML lifecycle, from data strategy and model architecture to deployment and performance monitoring
Develop robust evaluation pipelines to ensure models meet strict reliability and safety requirements
Work on ML certification activities, validating model behavior under defined regulatory frameworks
Leverage transfer learning and simulation to scale training and testing beyond real-world data limitations
Collaborate closely with software, systems, and flight teams to integrate ML models into real-world applications

Requirements

What You’ll Need

Strong programming skills in C++ or Rust
Master’s or PhD in computer science, physics, mathematics, or a related technical field
At least 5 years of hands-on experience in deep learning for computer vision
Experience across the full ML stack, including model design, training pipelines, and evaluation systems
Solid understanding of data-centric AI approaches, including dataset curation and augmentation strategies
Experience with simulation environments or synthetic data generation is a strong plus
Proven ability to tackle complex research problems over extended periods, in both academic and industrial settings

Who You Are

You thrive in environments where problems are hard, ambiguous, and worth solving. You are not just training models, you are engineering systems that must work every time. You think long-term, validate everything, and take ownership of performance in the real world. When others stop at good enough, you keep pushing until it is reliable, scalable, and certifiable.

Direkt bewerben

Erweiterte Suche

simulation engineering Jobs in zürich zh

Machine Learning Engineer

GNC Engineer

PhD Position in Human–Computer Interaction and Extended Reality in Architectural Design and Fabrication

(Senior) Scientist in Converter-Based Distribution Systems (80 - 100%)

Cloud & IoT Solution Engineer (w/m/d)

Numerical Modeling and Experimental Validation for Wireless Power Transfer Exposure Assessment and Applications

Principal Engineer Digital Design (f/m/div)

RF Design Engineer - IC

VP System Architecture

Investment Risk Manager

Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)

Principal Navigation Software Engineer

Customer Success Engineer Cyber Security (Zurich, 100%)

Senior Reinforcement Learning Engineer

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Financial Senior Associate

Senior Scientist and Lecturer in Novel Semiconductor Devices 60 – 100 %

System-on-chip architect (F/M/D) 100%

Technical Sales Manager

System Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als simulation engineering in zürich zh erhalten

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