AI Ingenieur (m/w/d)

FLEXOO; Heidelberg; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Remote work one day per week

Team events

Modern Heidelberg location

Free drinks

Zusammenfassung

FLEXOO, based in Heidelberg, seeks an AI Engineer (m/f/d) to design and implement end-to-end AI pipelines for time-series and sensor data across battery and robotics applications. The role blends physics-based models with data-driven approaches to build robust, interpretable systems for industrial deployment.

You will deploy models to embedded/edge hardware, collaborate with hardware and software teams, and advance state estimation, anomaly detection, and remaining useful life predictions in

Qualifikationen

• Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or related field.
• 3+ years of applied ML experience for sensor-based systems in robotics, automation, or energy storage.
• Strong Python and C++ skills with practical PyTorch experience.

Aufgaben

• 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 for robust, interpretable, certifiable industrial AI.
• Deploy and optimize AI models on embedded and edge hardware with hard latency/memory constraints.
• Collaborate with hardware, firmware, and systems engineers to integrate sensor data and AI inference into real devices.
• Develop, validate, and benchmark models for state estimation, anomaly detection, fault classification, and remaining useful life prediction.

Kenntnisse

Python

C++

PyTorch

JAX

Physics-informed modelling

Edge deployment

Time-series data engineering

English & German

Ausbildung

Master's degree or PhD

Tools

ONNX

TensorFlow Lite

MLOps tooling

Jobbeschreibung

We develop and manufacture a scalable technology platform that combines ultra-thin, freely moldable sensors with real-time data processing at the edge—thereby creating the physical data foundation for modern industrial systems. Our expertise in printed electronics forms the technological basis for this.

As a deep-tech company based in Heidelberg, we combine development, industrial manufacturing, and application expertise—with a clear focus on translating technologies into scalable applications.

Join our innovative development team and shape the future of intelligent technology as an AI Engineer (m/f/d), where your ideas turn cutting-edge research into real-world impact.

Your Tasks

• 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

Your Profile

• Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
• 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)
• Solid understanding of time-series data engineering: synchronization, cleaning, labeling, and handling of large continuous sensor streams
• Experience with at least two of: reinforcement learning, imitation learning, multimodal foundation models, or physics-informed neural networks
• 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

We offer

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

Ready to build the future?

Feel free to get in touch — we look forward to hearing from you.