AI Engineer (m/f/d)

FLEXOO makes Physical AI possible.

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?

Then apply by submitting your complete application documents - including your resume, cover letter, transcripts and employer references - directly through our website at www.flexoo.com > About Us > Career.

Any questions?

Feel free to reach out - we look forward to hearing from you.

Marion Lohnert | HR Manager | hr@flexoo.com

FLEXOO GmbH | Speyerer Str. 4 | 69115 Heidelberg | www.flexoo.com

Job Types: Full-time, Permanent

Pay: 55.000,00€ - 75.000,00€ per year

Experience:

applied machine learning: 3 years (Required)

Language:

English C1 (Required)

German C1 (Required)

Work Location: Hybrid remote in 69115 Heidelberg