Senior Robotics Engineer, Perception

Based in Espoo, Finland, GIM Robotics is a leading developer of autonomous mobile robot solutions. We're driven by a vision to design and deploy the most advanced, reliable robotic systems for a wide range of industrial applications, making a real impact on operational efficiency and safety.

At GIM Robotics, we're leading the change in robotics, developing robust and scalable software that brings autonomous robots and machines to life. We're committed to pushing the boundaries of what's possible and are now looking for a Senior Robotics Engineer, Perception to join our team of 40 experts. If you're ready to tackle fascinating technical challenges and join a dynamic, forward-thinking team, we want to hear from you!

As a Senior Robotics Engineer, Perception, you'll build the software that lets our customers' machines see and understand the world around them. You'll work on camera and 3D lidar based perception: detection, classification and tracking of objects, free space and traversability analysis, and the sensor calibration, fusion and evaluation tooling that keeps it all reliable. You'll combine both approaches to the problem: classical, geometric and signal processing algorithms on point clouds and images, and machine learning based models trained and tuned for each customer use case. Our machines operate outdoors in rain, snow, dust and low visibility, on tight compute budgets and in real time, so robustness is a design requirement, not a finishing touch. There is also an opportunity to take on a technical lead role, leveraging your expertise to teach others and to shape our perception architecture. Our goal is to enable our customers' machines to move autonomously, and you'll be at the heart of making that happen.

Our culture promotes a positive and engaging work environment where every voice is heard. We operate with a can-do attitude and a deep sense of teamwork to achieve our shared goals. Our diverse team appreciates different viewpoints and is dedicated to fostering an atmosphere of continuous growth and shared learning.

You're a highly skilled and independent team player with a strong interest in autonomous mobile robots and in making machines perceive their surroundings. You have a proactive attitude and a drive to spot opportunities for improvement. To succeed in this role, you should have:

• Over 5 years of software development experience, with a proven track record of designing complex software architectures from scratch

• A university-level degree (M.Sc. or higher) in a relevant field like robotics, computer science, or electrical engineering

• Hands-on experience with camera and/or 3D lidar based perception, for example object detection, classification and tracking, semantic segmentation, free space or traversability analysis, or lidar based localisation and mapping

• Command of both toolboxes: traditional algorithmic methods (point cloud and image processing, geometry, filtering, registration, clustering, state estimation) and machine learning based, model driven solutions (designing, training, evaluating and deploying neural networks for perception)

• Expert-level C++ skills and experience with all steps from build to deploy including tools such as CMake, conan and colcon

• Expert-level Python skills and experience with frameworks such as NumPy, SciPy and PyTorch

• Experience with ROS2 in real robot systems, and with developing high-performance real-time software under tight compute budgets

• Strong problem-solving and analytical skills

• Proficiency with Git, Docker, and Linux environments

• Willingness to learn; in our small teams everybody needs to do a bit of everything

We also consider the following skills a plus:

• Hands-on experience with multi-sensor fusion across lidar, camera, radar, IMU and GNSS

• Experience with sensor calibration (intrinsic and extrinsic) and time synchronisation of sensor data

• Experience with SLAM, 3D reconstruction, or spatial data structures for large point clouds

• Experience with perception data workflows: data collection, annotation, augmentation, and automated evaluation against ground truth

• Experience with inference optimisation and deployment on constrained hardware (CUDA, TensorRT, ONNX, embedded or ARM64 targets)

• Understanding of safety-related development for mobile machinery, for example hazard analysis, ISO 3691-4, or ANSI/UL 4600

• Experience with web frontend technologies, such as Typescript and React, or backend frameworks such as Django

• Experience with agile-based development

• Experience with DevOps, CI/CD, and Pipelines development

• Project management and direct customer interaction experience

At GIM Robotics, we believe our team's success and well-being are what drive our innovation. We've built a supportive culture where you can thrive both personally and professionally, and our benefits reflect that commitment. You'll enjoy a lunch benefit, comprehensive occupational health care, leisure time insurance, and access to a gym and massage chair to help you stay balanced. We also support your growth with dedicated time for self-development, and you'll find a vibrant community through regular afterwork hangouts and company events.

We believe that our best work happens when we bring together people with different perspectives and life experiences. We are committed to building a team where everyone feels they belong and has the opportunity to do their best work, regardless of who they are or where they come from.

For more information, please visit our Career page at https://gimrobotics.teamtailor.com/.

Are you ready to take on this exciting challenge? Please apply via the link below on our Career page by Sunday 6th September 2026 at 23:59 EET. We will be reviewing applications and possibly interviewing candidates throughout the application period, so we encourage you to apply as soon as possible. We do not handle applications or CV's via email or LinkedIn.

For more information about the role or the process, please contact Jan Gustafsson, Project Manager, [email protected] or Isabella Oksama, Head of People, [email protected].