Path Planning Engineer
Brightskies Software Solutions
Employer Active
Posted 15 hrs ago
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Develop and optimize algorithms for global path planning, local trajectory planning, decision-making, and motion control across multiple operational design domains (ODDs).
Implement sampling-based, graph-based, and optimization-based planning algorithms (e.g. Hybrid A*, A*, RRT*, Informed-RRT*, BIT*, spline-based and optimization-based trajectory generation).
Develop behavior planners for lane changing, overtaking, gap acceptance, intersection handling, parking maneuvers, and obstacle avoidance.
Implement real-time motion control algorithms (e.g. PID, Stanley, Pure Pursuit, MPC) with vehicle dynamics awareness.
Work with probabilistic state estimation: EKF/ESKF, MCL (Particle Filter), GNSS/INS integration, and map-matching techniques.
Work with road network and map formats including OpenDRIVE, Lanelet2, and custom lane-level graph structures.
Develop simulation scenarios using CARLA, OpenScenario, and internal simulators for validation and regression testing.
Optimize computational performance and memory usage for real-time execution on embedded automotive hardware.
Participate in defining safety constraints and module-level interfaces.
Collaborate with perception, localization, control, and system integration teams to deliver a full-stack autonomous solution.
Support field testing, data collection, debugging, and performance tuning on real vehicles.
Contribute to documentation, test case design, KPIs, and system validation workflows.
Desired Candidate Profile
Bachelor s degree in Computer Science, Electrical Engineering, Robotics, or a related field (Master s is a plus).
0-2 years of experience in autonomous systems or robotics software development.
Direct experience in motion planning, path planning, and vehicle control for autonomous systems.
Background in localization, state estimation, and sensor fusion (IMU, odometry, Lidar-IMU based localization, Camera based Localization).
Experience integrating algorithms into ROS 2 (Foxy/Humble/Galactic).
Experience with real-time systems, multi-threading, and modern C++ development.
Experience with autonomous parking systems.
Experience with L2 ADAS Features.
Experience with GNSS/INS integration and high-accuracy localization pipelines
Experience with safety validation, Scenario-Based Testing.
Familiarity with automotive communication protocols (e.g., CAN).
Optimization Libraries, Custom Solvers.
Company Industry
- IT - Software Services
Department / Functional Area
- Engineering
Keywords
- Path Planning Engineer
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Brightskies Software Solutions