Team Lead - Visual Localization

The role

You will hire and develop engineers while owning the localization roadmap. You will deliver systems for VIO, SLAM, sensor fusion, calibration, mapping, and relocalization using real sensors and onboard compute.

What you will do

• Hire and develop localization engineers
• Own the localization roadmap and delivery
• Guide architecture and core algorithm decisions
• Build evaluation and replay loops
• Stay involved in critical algorithms, production code, and debugging
• Coordinate sensor and compute requirements with adjacent teams
• Take the system through live sensor testing and field deployment

Required qualifications

• Personally built VIO or SLAM systems and taken parts through deployment
• Led engineers through difficult technical work
• Can assess an engineer's technical work and give feedback
• Strong foundations in 3D geometry, estimation, optimization and sensor fusion
• Write production C++
• Use Python for analysis, evaluation and tooling
• Comfortable working with Linux, real sensors, calibration, synchronization and constrained onboard compute
• Used replay, evaluation datasets and automated tests to guide development
• Master's degree, PhD or equivalent practical experience in a relevant technical field
• Fluent English
• Eligible to work on defence-related projects and obtain relevant security clearance

Nice to have

• Rust experience
• German
• Experience deploying perception systems on Nvidia Jetson, embedded CPUs/GPUs, writing CUDA kernels, optimizing deep neural networks for edge deployment
• Experience with LWIR thermal cameras, rolling shutter effects, visual-inertial calibration, multi-camera rigs, fisheye/wide-angle lenses or monocular depth
• Experience with GNSS-denied navigation in UAV context, terrain-relative navigation, map-based localization and re-localization
• Experience building evaluation datasets, replay systems, perception observability, log tooling, and automated regression pipelines
• Publications or open-source contributions in SLAM, VIO, 3D computer vision, state estimation, or robotics

Benefits

• Employee participation programme
• High-quality and modern toolset
• Flat hierarchy
• Access to best-in-class AI tools and agents
• 31 Paid Days Off (30 vacation days plus birthday off)
• Free membership to gyms, yoga, and wellness through EGYM Wellpass
• 2 company retreats per year
• Professional mentor

Before you apply

• Must be eligible to work on defence-related projects
• Must be able to obtain relevant security clearance where required

About the company

SE3 Labs builds spatial intelligence and autonomy software for unmanned systems. They combine 3D computer vision, state estimation and AI to help autonomous platforms perceive their surroundings.