6 beste Stellen als lead machine learning in berlin, be – aktuell auf Personalsuche

Senior Software Engineer (m/f/d) Perception & Autonomous Systems
MOTOR Ai —Berlin
- Informatik
- Master
- C++
- Flexible Arbeitszeiten
Direkt bewerben
6 Tage
Operations Research Analyst - Revenue Management System (m/f/d)
Flix —Berlin
- Microsoft Excel
- Informatik
- SQL
Direkt bewerben
2 Tage
Senior Software Engineer DevOps (mwd)
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Oracle
- Englisch
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
AI Product Owner - International Big Data Team (m/w/d)
Würth-Gruppe —Berlin
- Teilzeit
- DevOps
- Englisch
- Master
Graduate Hardware Engineer - Formula Student
Sensmore —Berlin
- Vollzeit
- CAD
- Master
- C++
Direkt bewerben
3 Std.
Graduate Robotics Engineer - Formula Student
Sensmore —Berlin
- Vollzeit
- Master
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- Bachelor
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3 Std.

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Senior Software Engineer (m/f/d) Perception & Autonomous Systems

MOTOR Ai
Berlin

Direkt bewerben

Details zur Stelle

vor 6 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Informatik
Master
C++
Bachelor
Machine Learning
Softwareentwicklung
Robotik

Vollständige Stellenbeschreibung

The future of mobility isn’t just coming; we’re building it. At the heart of our mission is the drive to bring Level 4 autonomous technology to Germany. Our in-house AI is paving the way for Europe’s first certifiable system, backed by a team of experts who have been innovating hand-in-hand since 2017. We don't just follow trends - we lead the transformation.

Tasks

Design, develop, and optimize high-performance C++ software for real-time autonomous systems. This includes the implementation of ROS2 nodes, optimization of ROS2 processing pipelines, and continuous improvement of software architecture to achieve maximum performance, reliability, and scalability
Design and implement a robust, high-performance computer vision stack based on classical computer vision techniques, while developing hybrid CPU/CUDA solutions for computationally intensive perception and image processing pipelines
Support the integration of machine learning models by developing efficient inference pipelines, applying runtime optimizations such as quantization, and contributing to model deployment, training, and integration workflows when required. In addition, you will contribute to scalable data pipelines, support the overall software architecture of the autonomous vehicle stack - including SOTIF considerations - and participate in field testing and experimental validation activities

Requirements

Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Computer Vision or a related technical discipline
At least 5 years of professional experience in modern C++ software development for high-performance or real-time systems
At least 5 years of experience in Machine Learning Engineering, Computer Vision, or deploying machine learning models in production environments
At least 3 years of experience in Data Engineering or the design of scalable data processing pipelines
Strong expertise in modern C++, software architecture, ROS2, and performance optimization, combined with solid knowledge of classical computer vision and image processing
Experience with CUDA, GPU programming, MLOps, and inference optimization frameworks such as TensorRT or ONNX Runtime is considered an advantage
Strong analytical thinking, a structured approach to problem solving, and the ability to work independently in an interdisciplinary engineering team
Fluent in English; knowledge of German is an advantage

Benefits

Genuine team spirit: working in teams that drive change forward – no matter how complex and extensive the projects are
Flexible working hours – with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.)
Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
Social relevance: We work on solutions that have game-changing qualities
Subsidy for public transport tickets
Your professional development is important to us – that's why we cover the costs of further education and training
Excellent transport links: attractive location in Wedding with very good public transport connections
Focus on people: Our strength lies in our diversity. We respect each other for who we are

At our new premises, we place great importance on getting to know one another and working together to drive our vision forward. Our international team is growing and working together on this exciting mission. Face-to-face collaboration is the key to success, which is why we have decided not to become a fully remote company.

We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate.

Direkt bewerben

Erweiterte Suche

lead machine learning Jobs in berlin, be

Senior Software Engineer (m/f/d) Perception & Autonomous Systems

Operations Research Analyst - Revenue Management System (m/f/d)

Senior Software Engineer DevOps (mwd)

AI Product Owner - International Big Data Team (m/w/d)

Graduate Hardware Engineer - Formula Student

Graduate Robotics Engineer - Formula Student

Other jobs to consider

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning in berlin, be erhalten

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