Senior Vision SLAM Lead — Autonomous Navigation Architect

Breath HR; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Private medical

Dental insurance

Healthcare cash plan

Employer pension matching

Performance‑based incentives

Job summary

Auriga is seeking a Senior Vision SLAM Specialist to architect, lead, and scale its visual SLAM, VIO, and image‑based mapping within localization, mapping, and perception pipelines. You will influence architecture and validation at customer sites, reporting to the Head of Engineering.

You will drive end‑to‑end pipelines, fusion methods, and robust validation for safety‑critical autonomous systems across challenging environments.

Qualifications

• 5+ years of experience in VSLAM, VIO, visual state estimation, or related domains for robotics/autonomous systems, with at least 2 years in a senior or lead capacity.
• Strong C++ skills, with good Python capability for prototyping, testing, tooling and data analysis.
• Expert grasp of multi‑view geometry, factor‑graph optimisation, visual‑inertial fusion, and uncertainty modelling.
• Good knowledge and experience of DNN models for vision processing.
• Track record of working with Vision SLAM for real‑time, safety‑relevant systems.

Responsibilities

• Define and maintain the technical roadmap for Vision SLAM, visual odometry, visual‑inertial odometry (VIO) and image‑based localisation capabilities.
• Design and develop end‑to‑end pipelines, including feature detection, feature matching, tracking, keyframe management, map representation, loop closure and optimisation back‑ends.
• Develop methods for visual‑inertial fusion, uncertainty modelling, fault detection and degradation handling in challenging operating conditions.
• Support vision‑based perception pipelines through camera calibration, image quality assessment, visual feature extraction, semantic cues, data capture strategy and sensor fusion.
• Establish validation methods, metrics and test processes for SLAM, VIO, localisation accuracy, mapping quality and perception‑supporting visual features.
• Embed safety, integrity, and fault detection into Vision SLAM architecture.

Skills

C++

Python

Multi-view geometry

Uncertainty modelling

Visual SLAM

Real-time systems

Tools

C++

Python

Job description

Auriga is seeking a Senior Vision SLAM Specialist to architect, lead, and scale its visual SLAM, VIO, and image‑based mapping within localization, mapping, and perception pipelines. You will influence architecture and validation at customer sites, reporting to the Head of Engineering.

You will drive end‑to‑end pipelines, fusion methods, and robust validation for safety‑critical autonomous systems across challenging environments.