Senior SLAM Engineer (C++/Python) - Remote

Svitla Systems, Inc.; Polska; Hybrid; PLN 200,000 - 280,000; Full time

Benefits offered by this job

Flexible workspace

Medical insurance after 1 month

Multisport card

Referral bonuses

Company events

Job summary

Svitla Systems Inc. is looking for a Senior SLAM Engineer (C++/Python) for a full-time position in Poland, 40 hours per week.

The role focuses on SLAM with real-world sensor data and modern SLAM techniques to support CV and GenAI solutions with an emphasis on device inference. You will design and optimize SLAM algorithms in collaboration with engineering and research teams, stay current with SLAM advances, and contribute to performance improvements while enjoying flexible remote or in-office

Qualifications

• Strong practical experience with SLAM.
• Strong programming skills in C++ and/or Python.
• Knowledge of recent SLAM approaches and developments.
• Understanding of optimization techniques used in SLAM.
• Experience working with real-world sensor data and debugging complex perception systems.
• Ability to independently investigate technical problems and deliver solutions.

Responsibilities

• Design, implement, and improve SLAM algorithms and related localization and mapping components.
• Evaluate and apply modern SLAM approaches based on product and project requirements.
• Improve the robustness, accuracy, and performance of localization and mapping solutions.
• Analyze algorithm performance, identify limitations, and troubleshoot complex technical issues.
• Collaborate with engineering and research teams on integration, testing, and optimization.
• Stay current with recent research, frameworks, and best practices in SLAM and robotic perception.

Skills

SLAM

C++

Python

SLAM methods

Optimization

Sensor data

Debugging

Problem solving

Job description

Svitla Systems Inc. is looking for a Senior SLAM Engineer (C++/Python) for a full-time position in Poland, 40 hours per week.

The role focuses on SLAM with real-world sensor data and modern SLAM techniques to support CV and GenAI solutions with an emphasis on device inference. You will design and optimize SLAM algorithms in collaboration with engineering and research teams, stay current with SLAM advances, and contribute to performance improvements while enjoying flexible remote or in-office