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(M/W) AI & Control Engineer – Perception and Navigation

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Onsite

(M/W) AI & Control Engineer – Perception and Navigation

Wandercraft

(M/W) AI & Control Engineer – Perception and Navigation

Skills

PythonRGitData AnalysisMachine LearningAI

18 days ago

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Important information


Contract type:

Permanent

Location:

Paris, France

Work mode:

Onsite

Published on:

9 October 2026

What they need


Version française de l’offre disponible sur demande.

Our Perception and Navigation Team is expanding to meet new challenges!

To serve new industrial use cases ever more reliably, our humanoid robot must be able to detect multiple objects of interest and estimate their poses. It must also be able to understand its environment in order to navigate safely and autonomously.

Our team is responsible for developing the knowledge and the codebase needed to address these challenges. We explore a range of state-of-the-art techniques, whether based on machine learning, classical computer vision, or model-based control.

The Perception and Navigation team is part of the AI & Control department and works closely with other members of this department. It also collaborates regularly with other R&D teams: embedded software, electronics, and mechanics.

Your responsibilities may include:

  • Selecting the most suitable vision/perception sensors for our needs
  • Conducting literature reviews related to ongoing projects
  • Presenting the latest innovations from the literature or internally developed algorithms to the team
  • Developing algorithms for object detection, pose estimation, or feature recognition
  • Creating a map of the environment that can be used to understand and navigate it
  • Developing navigation and control algorithms for various robots, including autonomous navigation for humanoid robots and navigation assistance for exoskeletons
  • Working closely with other teams to ensure the overall performance of the algorithms
  • Testing on real robots and in simulation
  • Traveling to customer sites (e.g., healthcare centers or factories) to ensure algorithms function properly in real-world conditions and making corrections as needed
  • Automated testing, code quality, and designing verification pipelines to ensure non-regressionQualifications : Engineering degree or PhD in perception, navigation, machine learning, robotics, or a similar field.

Experience :

We are looking for various seniority levels. Academic experience will be highly valued, particularly in relation to perception or the use of point clouds, navigation or optimal control, machine learning, etc.

Ideally, you have experience in software development (Python/C++), particularly in a team (version control tools, modularity, responding to specifications, continuous integration, etc.).

You are creative and innovative. You are comfortable in developing new things with a limited existing base and making prototypes (personal or professional robotics projects are valued).

You enjoy experimental work and adapting algorithms to the constraints of real-world environments and commercial products.

You are comfortable with general algorithmic, and in particular with linear algebra (matrix calculations), and physical modeling (reference frame changes, odometry, etc.). You are rigorous, able to proofread your work, and explain your calculations or algorithms clearly.

You are curious and have good analytical skills, enabling you to monitor technological developments effectively and learn from scientific literature or meetings at conferences.

Skills (hard and softskills) :

  • Python - Expert level
  • C++ - Expert level
  • Vision (feature detection, mapping, SLAM) - Expert level
  • Navigation (path planning, path tracking…) - Expert level
  • Machine learning (data analysis, augmentation, labeling, validation) - Autonomous level
  • Robotics (kinematics, odometry, real data analysis) - Autonomous level
  • Linear algebra, numerical optimization - Autonomous level
  • Control systems (observers, controllers) - Basic knowledge
  • Continuous analysis of the state of the art in the field - Autonomous level
  • Software development best practices, continuous integration, automated testing - Autonomous level

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