Senior SLAM & Perception Engineer — Hybrid

Evolunar; Montà; Ibrido; EUR 38.000 - 48.000; Tempo pieno

Vantaggi offerti da questo lavoro

Ownership of core technical area

Fast-paced hardware validation

Hybrid working

Descrizione del lavoro

Evolunar in Capriglio, Italy, seeks a Senior SLAM Engineer to push the perception and navigation stack for UAVs in GNSS-denied environments. You will own core parts of the real-time estimation pipeline, from feature detection to state estimation back-end, and move research prototypes into production code running on a flight computer.

Work with a focused team blending computer vision, sensor fusion, and estimation theory to build robust SLAM systems.

Competenze

• MSc or PhD in Computer Science, Robotics, Engineering, or a related field, or a BSc with equivalent hands-on experience.
• 3+ years developing perception and state estimation algorithms for real-time robotic systems.
• Strong grounding in probabilistic estimation: EKF and/or factor graphs.
• Deep understanding of visual-inertial odometry and multi-sensor fusion.
• A track record of designing, implementing, and debugging core elements of complex SLAM systems.
• Solid computer vision and image processing fundamentals: multi-view geometry, camera models, calibration.
• Real experience writing optimized, maintainable, production code in C++.
• Experience in MATLAB and/or Python for prototyping, analysis, and tooling.
• Ability to diagnose problems in a real system from flight collected data.

Mansioni

• Design, prototype, and validate SLAM, visual-inertial odometry, and state estimation algorithms.
• Own the front-end: feature detection and tracking, data association, outlier rejection, multi-camera and multi-sensor geometry and map matching.
• Own the back-end: EKF and/or factor-graph estimation, tightly-coupled sensor fusion, loop closure and relocalization, consistency and observability analysis.
• Support integration and flight testing, debug from real flight data, and feed what you learn in the field back into the algorithms.
• Write efficient and optimized production C++ code.
• Contribute to architecture decisions, code reviews, and the technical growth of the team.

Conoscenze

Perception and state estimation

Probabilistic estimation (EKF / factor

Visual-inertial odometry

Multi-sensor fusion

C++ production code

Multi-view geometry

Camera calibration

Real-time systems

Troubleshooting flight data

Formazione

MSc or PhD in Computer Science, Robotics, Engineering

BSc with equivalent hands-on experience

Strumenti

MATLAB

Python

Descrizione del lavoro

Evolunar in Capriglio, Italy, seeks a Senior SLAM Engineer to push the perception and navigation stack for UAVs in GNSS-denied environments. You will own core parts of the real-time estimation pipeline, from feature detection to state estimation back-end, and move research prototypes into production code running on a flight computer.

Work with a focused team blending computer vision, sensor fusion, and estimation theory to build robust SLAM systems.