Senior AI/ML Engineer - Robotics & Drones

Your Role

As a Senior AI/ML Engineer, you will develop and evolve advanced perception systems critical for autonomous robotic agents. This involves working with different sensors, sensor modalities, perception algorithms, and compute platforms to enable robust autonomy across diverse environments and robot form factors. You will collaborate with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems.

In your daily work, you will:

• Define and develop AI/ML perception algorithms for multiple sensors, including camera and radar, and tasks such as object detection, segmentation, and environment modelling.
• Develop multi-sensor fusion algorithms to provide accurate, robust perception in 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 using simulation and real-world 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.

Your Background

• PhD or Master’s degree in Robotics, Computer Science, Electrical/Computer Engineering, another related technical field, or equivalent practical experience.
• Proven experience 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, including camera, radar, LiDAR, sensor fusion, and environment models.
• Excellent communication skills and ability to explain complex localization and perception topics to cross-functional audiences.

Nice to Have

• Experience with perception systems in industrial environments, including warehousing, logistics, or manufacturing.
• Knowledge of functional safety standards for mobile robotics.
• Experience continuously improving and optimizing AI/ML perception models.
• Proficiency with ML platforms and experiment management tools such as MLflow, SageMaker, Databricks, and DVC.
• Experience with embedded and heterogeneous computing platforms, including NVIDIA, Qualcomm, TI, and Renesas.
• Hands-on experience with ROS or ROS 2.
• Experience working in fast-paced, high-ambiguity environments.
• Strong background in AI/ML debugging, dataset management, and model training.

Benefits

• Private health care and life insurance for you and your family.
• Well-being program with regular webinars, workshops, and networking events.
• Hybrid work, including a minimum of 47 remote-work days per year and flexible working hours.
• Employer-paid employee pension plan with an additional 3.5% of gross salary.
• Access to sports groups and a Multisport card.