Job Description
We are looking for a Engineer with a strong background in applied machine learning and robotics perception.
The role focuses on building advanced perception pipelines that enable robots to detect, interpret, and respond to their surroundings.
You will design, implement, and optimize algorithms for visual sensing, object detection, depth estimation, and scene understanding. You will collaborate closely with robotics engineers, software developers, and project managers to deliver perception pipelines that are robust, efficient, and ready for deployment in real-world robotic applications.
Candidates with hands-on expertise in computer vision, Linux development, and modern software engineering practices will thrive in this position.
Tasks
* Your responsibilities:
* Develop and optimize computer vision and machine learning models for robotic perception tasks.
* Work with large image and sensor datasets to train, validate, and deploy models.
* Integrate algorithms into real-time Linux environments for embedded and robotic systems.
* Collaborate using Git/Bitbucket, follow pull request best practices, and track progress in Jira.
* Contribute to system testing and validation to ensure robustness in challenging conditions.
Requirements
* Your profile:
* Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
* 3+ years of professional experience in computer vision, machine learning, or robotics.
* Proficiency with Linux environments and modern development workflows (Git/Bitbucket, Jira).
* Solid programming skills in Python and/or C++.
* Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow).
* Experience in robotic perception tasks such as undistortion, depth completion, or semantic/instance labeling is a plus.
Benefits
* What we offer:
* Work on cutting-edge perception technology that shapes the next generation of robotics.
* A collaborative environment with cross-disciplinary teams in robotics, AI, and embedded systems.
* Opportunities for professional growth, training, and contribution to open-source and research.
Looking forward to connecting!