Job
- Level
- Erfahren
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 55.000 bis 75.000€ Brutto/Jahr
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du End-to-End KI-Pipelines für Sensordaten aus der Robotik und Batterieanwendungen, kombinierst physikbasierte Modelle mit datengestützten Ansätzen und integrierst KI-Modelle in Echtzeithardware.
Job Technologien
Deine Rolle im Team
- Design and implement end-to-end AI pipelines for time-series and event-driven sensor data across battery and robotics applications.
- Combine physics-based models with data-driven approaches, hybrid and physics-informed machine learning to build systems that are robust, interpretable, and certifiable for industrial deployment.
- Deploy and optimize AI models on embedded and edge hardware, from microcontrollers to edge gateways, with hard latency and memory constraints.
- Collaborate closely with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices.
- Develop, validate, and benchmark models for state estimation, anomaly detection, fault classification, and remaining useful life prediction in both battery management and robotic manipulation contexts.
Unsere Erwartungen an dich
Ausbildung
- Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field.
Qualifikationen
- Solid understanding of time-series data engineering: synchronization, cleaning, labeling, and handling of large continuous sensor streams.
- Familiarity with cloud infrastructure and CI/CD for ML systems (MLOps).
- Published research in machine learning, robotics, or sensor intelligence at a leading venue is an advantage.
- Proficiency in English and German.
Erfahrung
- 3+ years of applied machine learning experience, ideally for sensor-based systems in robotics, industrial automation, or energy storage.
- Strong Python and C++ skills; practical experience with PyTorch; JAX experience is a plus for physics-informed modelling.
- Proven experience deploying models to embedded or edge targets; familiarity with edge deployment pipelines (ONNX, TensorFlow Lite, or equivalent).
- Experience with at least two of: reinforcement learning, imitation learning, multimodal foundation models, or physics-informed neural networks.
Unser Angebot
- At FLEXOO, you can expect more than just a job - you will become part of an innovative environment where your ideas matter and your contributions are visible.
- You are part of a team of experts with the opportunity to shape next-generation AI functionality in sensor-rich systems such as battery storage solutions and robots.
- You will closely collaborate with experts in printed electronics, embedded systems, and industrial monitoring.
- We offer you a long-term position with room to grow into technical leadership for AI in sensor-based products.
- Attractive and performance-based compensation in a future-oriented company.
- Flexible working hours and the option to work remotely one day per week.
- Various benefits (business lunch, free hot and cold drinks, job ticket, etc.).
- Regular team events.
- Modern location in Heidelberg Bahnstadt, 10 minutes from the main train station, free parking.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Flexoo GmbH
Die Flexoo GmbH, ansässig in Heidelberg, ist ein bedeutender Anbieter im Bereich der gedruckten Elektronik und Sensorik. Als unabhängiges Spin-off der InnovationLab GmbH bietet sie ein innovatives Fertigungskonzept, das durch hohe Flexibilität, Qualität und Skalierbarkeit besticht und die Massenproduktion intelligenter Sensoren ermöglicht.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Elektronik, Automatisation
AI Engineer
- Gehalt
- 55.000 bis 75.000€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.34.978 bis 45.351 € netto/Jahr · Steuerklasse I
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
