C++ Robotics Software Engineer (Perception & Autonomy)
Pentangle Tech
Peoria, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Peoria, United States of America
Tech stack
Computer Vision
C++
Nvidia CUDA
Software Debugging
Distributed Systems
Machine Learning
Motion Planning
Object Detection
Operational Databases
Performance Tuning
Sensor Fusion
Robot Operating System
Mobile Robots
Safety Critical Systems
Lidar
Docker
Job description
We are seeking a C++ Robotics Software Engineer with strong expertise in autonomous systems, perception, and real-time robotics software. This role will focus on developing and scaling C++-based solutions for mobile robots, including perception pipelines, sensor fusion, and safety-critical systems deployed in production environments., * sDesign and develop high-performance C++ software for robotics perception, navigation, and control system
- sBuild and optimize sensor-driven systems using LiDAR, cameras, and IMU for real-time decision makin
- gArchitect and implement robot safety and collision avoidance systems in production environment
- sDevelop communication interfaces and distributed systems (ZMQ, ROS2) for control and perception integratio
- nImprove SLAM, localization, and mapping algorithms for robust autonomous navigatio
- nAnalyze production data, debug field issues, and drive continuous performance improvement
- sIntegrate machine learning / computer vision models into robotics pipelines while maintaining C++ performance standard
- sCollaborate cross-functionally with hardware, QA, and controls teams to validate system behavio
Requirements
- nsStrong proficiency in C++ (core requirement) with experience in performance optimization and system-level programmi
- ngExperience developing robotics software in production environments (AMRs, autonomous vehicles, or similar system
- s)Hands-on experience with ROS/ROS2 and real-time distributed syste
- msStrong understanding of localization, mapping, or SLAM algorith
- msExperience working with sensor fusion frameworks (e.g., EKF, UKF, particle filter
- s)Background in computer vision or perception syste
ms Preferred Qualificati
- onsExperience with LiDAR-based perception systems and obstacle detect
- ionFamiliarity with multi-object tracking, object detection (YOLO/CNNs), or transformer-based mod
- elsExperience integrating ML models into production-grade C++ syst
- emsKnowledge of robot behavior planning or motion planning algorit
- hmsExposure to Gazebo, CUDA, Docker, or simulation environme