Sr. Autonomous Driving Software Engineer (Localization & Mapping)

ADASTEC Corp.; Fatih; On-site; TRY 4,382,000 - 6,816,000; Full time

Job summary

ADASTEC Corp. in Fatih, Turkey, seeks a senior localization and mapping engineer to advance autonomous vehicle algorithms. The role focuses on robust multi-sensor fusion using LiDAR, GNSS/INS, IMU, and cameras, plus state estimation and real-time C++ optimization.

You will work with coordinate systems, reference frames, and geodetic concepts while designing automated evaluation pipelines and performing thorough root-cause analysis. Strong English is essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or related field or equivalent experience.
• Minimum 6 years of professional experience in localization and mapping systems.
• Excellent command of English, both written and spoken.
• Advanced proficiency in C++, modern practices, memory, concurrency, performance.
• Good understanding of GNSS concepts including RTK, corrections, and solution quality.
• Strong Linux development and debugging experience.
• Experience with profiling, debugging, and performance optimization of real-time systems.
• Experience designing unit tests, integration tests, and dataset-based evaluation.
• Ability to investigate complex failures and perform root-cause analysis.
• Experience designing maintainable software architectures and reviewing production C++ code.
• Strong technical communication and documentation skills.
• Experience with GNSS/INS hardware and high-precision positioning systems is preferable.
• Understanding RTK, PPP, GNSS/INS integration, geodetic frames, and datum transformations is preferable.
• Having no travel restriction

Responsibilities

• Maintaining production-grade localization and mapping algorithms for autonomous vehicles
• Maintaining and improving multi-sensor fusion and state estimation using LiDAR, GNSS/INS, IMU, camera, and odometry
• Working with coordinate systems, rigid-body transformations, sensor extrinsic, map frames, geodetic frames, and GNSS reference systems
• Optimizing CPU, memory, latency, and determinism of real-time C++ components
• Designing automated evaluation and benchmarking pipelines using recorded datasets and ground-truth trajectories
• Performing root-cause analysis using ROS bags, sensor logs, profiling tools, and offline evaluation frameworks

Skills

English proficiency

Analytical thinking

Debugging skills

Technical communication

Education

Bachelor's or Master's degree

Tools

C++ (modern)

GNSS/INS

Linux

Profiling tools

ROS

Job description

Responsibilities

• Maintaining production-grade localization and mapping algorithms for autonomous vehicles
• Maintaining and improving multi-sensor fusion and state estimation using LiDAR, GNSS/INS, IMU, camera, and vehicle odometry
• Working with coordinate systems, rigid-body transformations, sensor extrinsic, map frames, geodetic frames, and GNSS reference systems
• Optimizing CPU, memory, latency, and determinism of real-time C++ components
• Designing automated evaluation and benchmarking pipelines using recorded datasets and ground-truth trajectories
• Performing root-cause analysis using ROS bags, sensor logs, profiling tools, and offline evaluation frameworks

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field, or equivalent professional experience
• Minimum 6 years of strong professional experience developing localization and mapping systems
• Excellent command of English, both written and spoken is a must
• Advanced proficiency in C++, including modern C++ practices, memory management, concurrency, and performance-oriented development
• Good understanding of GNSS concepts including RTK, correction services, and solution quality
• Strong Linux development and debugging experience
• Experience with profiling, debugging, and performance optimization of real-time systems
• Experience designing unit tests, integration tests, regression tests, and dataset-based algorithm evaluation
• Ability to independently investigate complex failures and perform systematic root-cause analysis
• Experience designing maintainable software architectures and reviewing production C++ code
• Strong technical communication and documentation skills
• Experience with GNSS/INS hardware and high-precision positioning systems is preferable
• Understanding of RTK, PPP, GNSS/INS integration, geodetic coordinate systems, and datum transformations is preferable
• Having no travel restriction