Agile Talent Solutions

We are looking for Senior UAV / Flight Control Engineer for one of our clients in civil aviation. 

The role is focused on hands-on work with UAV platforms and flight control systems. We are looking for someone with solid practical experience in configuring, testing, and optimizing drone systems in real-world environments.

Requirements:

- Strong hands-on experience with ArduPilot

- Experience with dual GPS / GNSS configurations

- Practical experience with RTK systems

- Strong PID tuning experience on UAV platforms

- Experience working with medium to large drones

- Background in Electronics Engineering, Mechatronics, Robotics, or a related field

- Ability to work on-site in Europe

 

Project details:

Contract duration: 6 months

Format: on-site

Location: EU

Start: as soon as available

About the Role
We are seeking a skilled Senior Robotics Software Engineer with strong experience in ROS2- based control, system integration, and simulation. The ideal candidate will design, implement, and maintain ROS2 nodes, data communication pipelines, and simulation environments for robotic and autonomous systems. This role emphasizes Python-based
development with potential expansion into C++, focusing on real-time performance, reliability, and safety in distributed robotics architectures.
 

Key Responsibilities
· Develop and maintain ROS2 nodes, topics, and services using Python (and C++ where applicable).
· Implement communication interfaces between sensors, actuators, and control modules via DDS or middleware.

· Build and manage simulation environments (Gazebo, Webots) and conduct HIL/SIL verification.
· Integrate robotic subsystems using ROS2 frameworks, ensuring modularity and real-time data flow.
· Configure networking, containerized environments (Docker), and automation scripts for deployment on Ubuntu.
· Collaborate with hardware and software teams to align ROS2 systems with mechatronic integration goals.
· Document system architecture, interface definitions, and deployment procedures.
 

Requirements
· Proven experience in ROS2-based development using Python (and optionally C++).
· Solid understanding of robotic communication frameworks, data exchange, and DDS concepts.
· Hands-on experience with simulation tools (Gazebo, Webots) and HIL/SIL testing environments.
· Familiarity with robotic sensors, actuators, and system integration workflows.
· Strong skills in Ubuntu/Linux, Docker, and software deployment automation.
· Fluent in English (asynchronous communication with global teams).

Role Description
As a Senior Embedded Software Engineer, you will play a pivotal role in developing the software that powers our drone-based maintenance solutions. Focusing on advanced control algorithms, real-time systems, and autonomous operation, you will contribute to the core technology that allows drones to perform precise tasks in challenging environments. This position is ideal for a candidate with a strong background in programming, a passion for drone technology, and a desire to impact the renewable energy industry on a global scale.
 

Key Responsibilities
• Designing, implementing, and maintaining software for drone systems and payload modules. Leading internal and customer documentation.
• Conducting module-level, integrational, functional, and failure tests; develop and maintain development and testing in virtual and physical environments/tools.
• Taking part in on-the-field activities such as testing, demonstrating, and maintaining the drone.
 

Qualifications
• Education: Bachelor's or Master's degree in Computer Science, Robotics, Software Engineering, or a related field.
• Sensor Integration: Proficiency in integrating various sensors such as LIDAR, ultrasonic, and visual (camera) sensors that are critical for the drone's navigation and operational accuracy.

• Real-Time Systems: Experience designing and implementing real-time systems to ensure timely processing and response by the drone under varying operational conditions.
• Signal Processing: Can handle and process signals from different sensors to derive accurate data for precise blade repair operations.
• Control Systems: Knowledge of control theory to manage the stability and manoeuvrability of the drone during flights and operations.
• Software Optimization: Skills in optimising software to run efficiently on embedded systems with limited computing resources.
• Fault Tolerance and Reliability: Understanding techniques to make the system robust against element failures or data inaccuracies.
• Data Fusion: Ability to merge data from multiple sensors to improve decision-making and accuracy of the drone's autonomous functions.
• Software Design and Development: Proficiency in designing embedded software systems and programming languages suitable for embedded systems, such as C/C++, and familiarity with Python for testing and prototyping. Experience in source code version controlling and configuration management. Familiarity with the DevOps area is an advantage.
• System Testing and Validation: Experience in rigorous testing methodologies to validate the functionality and reliability of the sensory systems in real-world scenarios.
• Safety and Compliance: Knowledge of safety standards and regulatory requirements for drone operations and airborne systems for industrial applications.
• Electronics and Electrics: Experience in power electronics and signal communication is highly preferable.
• Communication: Demonstrated ability to work effectively in a global team, with excellent communication skills and a collaborative work ethic.
• Language: Proficient in English, with additional languages being a plus for our diverse, international team.

About the Role
We are seeking a skilled AI & Machine Learning Engineer with deep experience in computer vision, model development, and MLOps pipelines. 

The ideal candidate will work closely with robotics and software teams to design and deploy intelligent systems for automated blade
surface inspection, defect detection, and autonomous perception.

Key Responsibilities
• Design algorithms for feature extraction, defect classification, and visual analytics
• Develop and train deep learning models (CNNs, transformers) using PyTorch or
TensorFlow
• Create automated data ingestion, labeling, and preprocessing pipelines
• Integrate MLOps tools (Azure ML, MLflow, Kubeflow) for retraining, validation, and
deployment
• Optimize models for edge deployment (Jetson, Raspberry Pi) and ROS2 integration
• Ensure proper data management and maintain AI development documentation.

Requirements

• Proven experience (min. 8+ years) in computer vision, deep learning, and AI model
deployment
• Strong understanding of neural network architectures, data pipelines, and MLOps tools
• Familiarity with edge computing and ROS2 integration is a plus
• Fluent in English (asynchronous communication with global teams)

• An articulate English (due to asynchronous communication with a global, English-
speaking team)

• A home office with fast and stable internet connection (15Mb/s), modern laptop/PC,
noise-cancelling headset and access to a quiet workspace