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Software Developer in Test - Spatial Intelligence

ANYbotics
Barcelona, Barcelona provincia

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Detalles del empleo

Cualificaciones

CI/CD
Informática
Herramientas de gestión de pruebas
Git
C++
Machine learning
Desarrollo de software
Test de software
Linux
Python
Debugging

Descripción completa del empleo

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 200+ people and work on cutting-edge robot technology.

The Opportunity

As a Software Development Engineer in Test - Spatial Intelligence, you will play a key role in ensuring the reliability, robustness, and correctness of ANYmal’s spatial perception, localization, and mapping systems. Our stack transforms raw sensor data into trustworthy world models that enable safe and autonomous operation in complex real-world environments.

Testing these systems goes far beyond unit tests. You will design and implement replay-based, simulation-based, and dataset-driven validation strategies to ensure consistent behavior across diverse environments and scenarios. Your expertise in robotic software testing will enable faster iteration, broader regression coverage, and higher confidence in changes to critical systems such as SLAM, state estimation, world modeling, and learned perception components.

Working closely with spatial intelligence engineers and test automation specialists, you will take full ownership of strengthening our CI/CD pipeline, dataset validation workflows, and replay infrastructure. You will help define quality standards, improve diagnosability, and ensure that new features are validated rigorously—because in Spatial Intelligence, reliable tests and reliable robots go hand in hand.

Join our Spatial Intelligence #Ateam and Build the Future of Robotics!

Market & Technology

ANYbotics transforms industrial plants in the (renewable) energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, to perform jobs and deliver high-quality, consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware

About Us

ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic and experienced person to join our team and help us shape the future of autonomous robotic inspections.

Your contributions

Evolve our replay, simulation-in-the-loop, and hardware-in-the-loop testing capabilities to validate perception, SLAM, and world model systems across diverse real-world scenarios while reducing the sim-to-real gap.
Drive the test automation journey within the Spatial Intelligence team by building validation frameworks that enable fast and high-quality software releases.
Take ownership of the overall quality of the Spatial Intelligence stack by defining quality standards, regression criteria, and validation gates that prevent issues from reaching the field.
Proactively improve system diagnosability and debugging workflows to reduce the time spent investigating and resolving field issues, enabling faster recovery and continuous reliability improvements
Contribute to the continuous improvement of our CI/CD pipelines and dataset infrastructure to ensure scalable validation of data-driven and learning-based spatial intelligence components.
Help maintain and extend ANYbotics’ testing facilities and occasionally participate in structured validation and data collection campaigns to strengthen our scenario catalog.

You profile

Excellent knowledge of software quality assurance and automated testing of complex, distributed systems.
Excellent programming skills in C++ and Python with a strong understanding of testable software architecture and clean code design.
Strong experience designing replay-based or large dataset-driven validation pipelines for learning-based or data-centric systems.
Strong ability to analyze complex system-level failures and improve observability, diagnosability, and debugging workflows to reduce time-to-resolution.
Good familiarity with Linux development environments, Git workflows, and CI/CD pipelines.
Good experience with issue tracking and test management tools, and defining regression and quality metrics.
Engineering or science degree with a focus on computer science, robotics, or a related field.

Bonus points

Experience testing robotic perception, localization, or SLAM systems in simulation and real-world setups.
Experience working with ROS2, robotics sensor systems (cameras, lidars, IMUs) and their common failure modes.
Experience with robotic simulators (e.g., Gazebo, Isaac Sim) and their limitations in representing real-world sensor behavior.
Experience validating machine learning models or working with ML evaluation frameworks.

We’re an international robotics company with the A-team spread across the Globe. This role gives you the opportunity to be part of growing our EU presence while staying connected to our global team. To be eligible, you’ll need to have the legal right to live and work in Spain. Ideally you reside in Barcelona, or are open to relocate. This is not a remote position

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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