Lead Robotics Engineer (Localization)

SteerAI; Abu Dhabi; On-site; AED 300,000 - 500,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Job summary

SteerAI is seeking a Lead Robotics Engineer to own and grow our localization strategy across the autonomy stack. You will lead the localization team's technical direction, mentor engineers, and drive hiring — while remaining deeply hands-on with the core localization engine.

This role is broad by design: rather than specializing in one sensor modality, you'll bring depth across LiDAR, GNSS/INS, visual, and sensor-fusion approaches, and know how to choose and combine the right one for the

Qualifications

• Experience with non-linear optimization and Bayesian filtering for autonomous navigation.
• Strong 3D geometry and spatial reasoning, including SE3/Lie groups.
• Extensive map-based localization using HD maps (Lanelet2/OpenDRIVE).
• Expert-level software engineering with ROS 2 and performance-critical design.

Responsibilities

• Lead the localization stack roadmap, setting architecture, testing, and code quality standards.
• Design and implement state estimation pipelines fusing IMU, odometry, GNSS/INS, LiDAR, and vision inputs.
• Develop LiDAR-based localization and place-recognition methods for GNSS-denied environments.
• Implement graph-based and non-linear optimization (Ceres, g2o, GTSAM) for global consistency and fusion.
• Design and implement VIO/visual-inertial localization when camera-based sensing is appropriate.
• Own hiring and technical interviewing for the localization team.
• Collaborate with perception, navigation, and controls teams across the stack.
• Stay current on localization research and pragmatic value of new approaches.

Skills

State Estimation

3D Geometry

Map-Based Localization

Software Engineering

Tools

Ceres

g2o

GTSAM

ROS 2

Modern C++ (17/20)

Python

Job description

SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.

About the role

We are seeking a Lead Robotics Engineer to own and grow our localization strategy across the autonomy stack. You will lead the localization team's technical direction, mentor engineers, and drive hiring — while remaining deeply hands-on with the core localization engine. This role is broad by design: rather than specializing in one sensor modality, you'll bring depth across LiDAR, GNSS/INS, visual, and sensor-fusion approaches, and know how to choose and combine the right one for the environment (open-road, GNSS-denied, indoor/structured, feature-sparse).

Key Responsibilities

• Lead the technical roadmap for the localization stack, spanning sensor fusion, place recognition, mapping, and pose estimation — and set standards for architecture, testing, and code quality across the team.
• Design and implement state estimation pipelines (EKF/UKF, factor-graph/optimization-based) that fuse IMU, wheel odometry, GNSS/INS, LiDAR, and visual inputs for robust pose estimation in both structured and unstructured environments.
• Develop LiDAR-based localization and place-recognition methods (e.g., ScanContext, ICP, NDT, scan-matching against prior maps) for GNSS-denied or perceptually ambiguous environments (indoor, urban canyon, tunnels, parking structures).
• Implement and optimize graph-based and non-linear optimization solutions (Ceres, g2o, GTSAM) for global consistency, loop closure, and multi-sensor fusion.
• Design and implement VIO/visual-inertial localization algorithms where camera-based sensing is the appropriate modality, without treating it as the sole solution.
• Own hiring and technical interviewing for the localization team.
• Collaborate cross-functionally with perception, navigation, and controls teams.
• Stay current on state-of-the-art localization research, including differentiable optimization and learned approaches, and pragmatically evaluate where they add real value versus classical methods.

Qualifications

• State Estimation: Proven expertise in non-linear optimization (Ceres, g2o, GTSAM) and Bayesian filtering for autonomous navigation.
• 3D Geometry & Spatial Reasoning: Mastery of coordinate transformations, Lie groups/algebras (SO3, SE3), and 2D/3D geometry primitives.
• Map-Based Localization: Extensive experience in matching perception data to vectorized HD maps (Lanelet2, OpenDRIVE).
• Software Engineering: Expert-level Modern C++ (17/20) and Python, with a deep understanding of ROS 2 and performance-critical software design.

What we offer

We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry.