Senior Slam/Perception Engineer

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

Vantaggi offerti da questo lavoro

Ownership of core tech

Hybrid working

Flexible hours

Descrizione del lavoro

Evolunar is a deep-tech aerospace startup developing autonomous navigation for UAVs. We seek a Senior SLAM Engineer to lead perception and state estimation, from front-end feature tracking to back-end estimation, delivering production-ready C++ code for flight computers.

You will work at the intersection of computer vision, sensor fusion, and state estimation with a small robotics team and contribute to architecture decisions, code reviews, and field testing in GNSS-denied environments.

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 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.
• Track record designing and debugging core SLAM components.
• Solid CV fundamentals: multi-view geometry and camera models.
• Real experience writing optimized production C++ code.
• MATLAB and/or Python for prototyping, analysis, tooling.

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 geometry.
• Own the back-end: EKF or factor graphs, sensor fusion, loop closure, relocalization, observability.
• Support integration and flight testing, debug with flight data, feed learnings back into algorithms.
• Write efficient and optimized production C++ code.
• Contribute to architecture decisions, code reviews, and team growth.

Conoscenze

SLAM

Visual-Inertial Odometry

State Estimation

Sensor Fusion

C++

Multi-Sensor Calibration

Safety-Critical

Formazione

MSc/PhD in CS/Robotics/Engineering or BSc with hands-on experience

Strumenti

MATLAB

Python

Descrizione del lavoro

Who we areEvolunar is a deep-tech aerospace startup and spin-off of Politecnico di Torino, developing advanced autonomous navigation technologies for UAVs and robotic platforms. Born from the challenge of navigating on the Moon, our technology is now enabling autonomous systems to operate in some of the most demanding GNSS-denied and degraded environments on Earth.

About the role

We're looking for a Senior SLAM Engineer to work on the perception and navigation stack at the core of our autonomous navigation system, enabling UAVs to fly where GNSS is denied or degraded. You will own core parts of the real-time estimation pipeline, from the computer vision front-end to the state estimation back-end, and you will be responsible all the way from research prototypes to optimized production code running at high rate on a resource-constrained flight computer. You'll work at the intersection of computer vision, sensor fusion, and state estimation, alongside a small team of engineers with expertise in robotics, estimation theory, and real-time systems.

What you'll do

• 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.

What you'll bring

• 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.
• Nice to have: Experience with learning-based perception: learned features and matching, monocular depth, place recognition.
• Knowledge of multi-sensor extrinsic and temporal calibration.
• Experience in safety-critical or aerospace development environments.

What we offer

• Ownership of a core technical area, with real influence over the architecture and direction of the navigation stack.
• Work at the forefront of autonomous robotics, pushing the state of the art on problems that are still open.
• A fast development cycle, where your work is promptly validated on real hardware in real conditions, not only in simulation.
• An early role on a fast-growing, technically ambitious, and fast-paced team, with a direct path to future leadership.
• xysqume Competitive salary of € 38k-48k.
• Flexible hours, hybrid working.

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