Robotics ROS2 engineer

Vector Machines; Heerenveen; Hybrid; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Public transport card

Market-competitive salary

Challenging real-world problems

Job summary

A leading robotics company in Heerenveen is seeking a ROS Engineer to enhance autonomous navigation in challenging solar park environments. Responsibilities include developing algorithms, implementing sensor fusion, and collaborating with a specialized team. Required skills include ROS2 experience and proficiency in C++ or Python. This full-time role offers a hybrid working model and competitive salary, with opportunities to contribute to innovative robotics solutions.

Qualifications

• Demonstrable experience with ROS2 (Robot Operating System).
• Knowledge of GPS, IMU, lidar and/or vision-based localisation.
• Ability to work independently and take ownership of technical challenges.

Responsibilities

• Develop and optimise ROS nodes and algorithms for autonomous mowing robots.
• Implement sensor fusion for robust position estimation and obstacle detection.
• Collaborate with embedded engineers and backend developers on the complete robot stack.

Skills

Experience with ROS2

GPS knowledge

C++ programming

Python programming

Job description

Vector Machines develops autonomous mowing robots for solar parks. Our robots navigate independently through complex environments using lidar, GPS and vision (sensor fusion). We're in a crucial growth phase, demonstrating our technology to customers throughout Europe.

About Vector Machines

Vector Machines develops autonomous mowing robots for solar parks. Our robots navigate independently through complex environments using lidar, GPS and vision (sensor fusion). We're in a crucial growth phase, demonstrating our technology to customers throughout Europe.

The Challenge

We're looking for a ROS Engineer to help us tackle the complex challenges of autonomous navigation in real-world environments. Our robots operate in solar parks, where they need to navigate reliably through challenging conditions: GPS inaccuracies, dynamic obstacles, varying terrain, and the need for centimetre-level precision when mowing around valuable solar installations.

From localisation and path planning to safety systems and autonomous docking, there are exciting technical problems to solve. We're building a robust, scalable solution that needs to operate autonomously across diverse solar parks across Europe, each with its own unique challenges.

What will you do?

• Develop and optimise ROS nodes and algorithms for our autonomous mowing robots
• Work on localisation, path planning, navigation, safety systems and docking functionality
• Implement sensor fusion (GPS, lidar, vision) for robust position estimation and obstacle detection
• Develop adaptive systems that can handle deviations between map data and real-world conditions
• Contribute to autonomous features such as collision avoidance and automated docking
• Collaborate with embedded engineers and backend developers on the complete robot stack
• Test and validate during demonstrations at solar parks throughout Europe

What do you bring?

Required

• Demonstrable experience with ROS2 (Robot Operating System)
• Knowledge of GPS, IMU, lidar and/or vision-based localisation
• Programming skills in C++ and/or Python
• Ability to work independently and take ownership of technical challenges

Strong advantages

• Experience with outdoor robotics and GPS-based navigation
• Experience with localisation techniques (SLAM, sensor fusion, state estimation)
• Knowledge of Kalman filters, particle filters
• Affinity with practical robotics in real-world environments
• Willingness to occasionally join customer demonstrations

What we offer

• The opportunity to contribute to cutting‑edge robotics technology for sustainable energy
• Direct impact on a product that customers evaluate on concrete KPIs
• Collaboration with a driven team of ROS engineers, embedded specialists and backend developers
• Work on challenging real‑world robotics problems
• Public transport card (if desired)
• Market‑competitive salary

Interested?

Practical Details

• Location: Heerenveen (hybrid)
• Type: Full‑time
• Languages: Dutch and English
• Start: As soon as possible