Senior AI/ML Engineer - Robotics & Drones

As a Senior AI/ML Engineer, you will develop and evolve advanced perception systems for autonomous mobile robots and drones, handling multiple sensors and perception algorithms, and deploying them on compute platforms. You will work closely with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems. Your daily tasks include defining AI/ML perception algorithms, developing multi-sensor fusion, establishing robustness best practices, shaping validation strategies, and supporting PoCs and early deployments.

Responsibilities

• Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling).
• Develop multi-sensor fusion algorithms to provide accurate, robust perception in various challenging environments.
• Establish best practices for perception robustness and AI/ML perception systems that support safety requirements and predictable failure behavior.
• Shape perception validation strategies, regression testing, and performance benchmarking based on simulation data and real word data.
• Translate customer and operational requirements into perception performance targets, AI/ML algorithm decisions, and data requirements.
• Evaluate and integrate open-source perception frameworks and third-party SDKs, ensuring scalability, maintainability, and license compliance.
• Support PoCs, demos, and early deployments by guiding perception setup, tuning, and debugging in real environments.

Requirements

• PhD or Master’s degree in Robotics, Computer Science, Electrical/Computer Engineering, any other related technical field, or equivalent practical experience.
• Proven experience in building scalable AI/ML development pipelines.
• Strong proficiency in Python and hands-on experience with ML/DL and perception libraries such as PyTorch, PyTorch Lightning, scikit-learn, OpenCV, NumPy, Pandas, or similar.
• Strong theoretical and practical understanding of sensors and their modalities (camera, radar, LiDAR), sensor fusion, and environment models.
• Excellent communication skills and ability to explain complex localization perception to cross-functional audiences.

Nice to have

• Experience with perception systems in industrial environments (warehousing, logistics, manufacturing).
• Knowledge of functional safety standards for mobile robotics.
• Experience with continuous improvement and optimization of AI/ML perception models.
• Proficiency with ML platforms and experiment management tools (e.g., MLflow, SageMaker, Databricks, DVC).
• Experience with embedded and heterogeneous computing platforms (NVIDIA, Qualcomm, TI, Renesas).
• Hands-on experience with ROS / ROS 2.
• Experience in fast-paced, high-ambiguity environments.
• Strong background in AI/ML debugging, dataset management, and model training.

Benefits

• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
• Private health care (Signal Iduna) and Life insurance for you and your beloved ones
• Well-Being Program that includes regular webinars, workshops, and networking events
• Hybrid work (min. 47 days/yr of remote work, flexible working hours)
• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary.
• Access to sports groups and Multisport card