Senior Autonomous Driving Localization & Mapping Engineer

ADASTEC Corp.; Fatih; On-site; TRY 400,000 - 650,000; Full time

Job summary

ADASTEC Corp. in Türkiye is seeking a Sr.

Autonomous Driving Software Engineer for the Localization & Mapping Team to design, develop, and improve robust localization and mapping systems for autonomous vehicles. You will work on real-time localization pipelines combining LiDAR, GNSS/INS, IMU, camera, and odometry to provide accurate vehicle pose estimation across challenging environments, including GNSS-degraded areas and dynamic scenes.

Qualifications

• Bachelor’s or Master’s degree in CS, EE, Robotics or related field.
• 6+ years of professional experience in localization and mapping.
• Excellent command of English.
• Advanced C++ proficiency and performance-oriented development.
• Strong Linux development and debugging experience.
• Experience with GNSS concepts and RTK/PPP is preferable.
• Experience with unit and integration tests and data-driven evaluation.

Responsibilities

• Maintain production-grade localization and mapping algorithms for autonomous vehicles.
• Improve multi-sensor fusion and state estimation with LiDAR, GNSS/INS, IMU, camera.
• Work with coordinate systems, map frames, and GNSS reference systems.
• Optimize CPU, memory, latency and determinism of real-time C++ components.
• Design automated evaluation pipelines using datasets and ground-truth trajectories.
• Perform root-cause analysis using ROS bags and sensor logs.

Skills

Localization & Mapping

C++ (modern)

GNSS/INS concepts

Linux development

Unit tests & validation

System debugging

Architectural design

Education

Bachelor’s or Master’s degree in CS/EE/Robotics or related field

Tools

ROS

Profiling tools

Git

Job description

ADASTEC Corp. in Türkiye is seeking a Sr.

Autonomous Driving Software Engineer for the Localization & Mapping Team to design, develop, and improve robust localization and mapping systems for autonomous vehicles. You will work on real-time localization pipelines combining LiDAR, GNSS/INS, IMU, camera, and odometry to provide accurate vehicle pose estimation across challenging environments, including GNSS-degraded areas and dynamic scenes.