Senior Developer – AI/ML Autonomous Driving & Navigation

About the role

The ideal candidate brings strong experience in AI/ML-based autonomy, robotics software, and maritime navigation systems — including COLREGs implementation and Contact Avoidance Behaviors — with the ability to move from algorithm design through deployment on embedded or real-time platforms. You will work across perception, controls, systems, simulation, and platform engineering teams to deliver robust, production-quality autonomous capability.

Responsibilities

• Design and develop software for autonomous navigation, including localization, mapping, perception, path planning, obstacle avoidance, and motion decision logic.
• Build and optimize AI/ML models for object detection, classification, tracking, scene understanding, and behavior prediction.
• Develop and integrate sensor fusion solutions using data from cameras, LiDAR, radar, GPS, IMU, and other onboard sensors.
• Implement navigation and autonomy algorithms for structured and unstructured environments.
• Collaborate with systems, controls, and platform teams to integrate autonomy functions into vehicle software architecture.
• Develop software in C++ for real-time or near-real-time autonomy applications.
• Create simulation and test pipelines for model training, algorithm validation, and system verification.
• Support field testing, debug performance issues, and refine autonomy behavior based on real-world results.
• Improve software reliability, safety, performance, and maintainability using sound engineering practices.
• Contribute to requirements definition, technical planning, architecture reviews, and code reviews.
• Mentor junior engineers and provide technical leadership in AI/ML and autonomy development.
• Support transition from prototype algorithms to production-ready implementations.

Requirements

• Must have Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Aerospace Engineering, or related field.
• 7+ years of software development experience with significant work in AI/ML, robotics, autonomous systems, or navigation.
• Strong programming skills in C++.
• Knowledge of AI/LLM training and deployment.
• Strong understanding of one or more of the following areas:
• Sensor fusion
• SLAM/localization/mapping
• Path planning/trajectory generation
• Computer vision
• Object tracking
• Reinforcement learning or behavior planning

Qualifications

• Preferred qualifications include:
• Strong Python coding skills.
• Master's or Ph.D. in a relevant field.
• Experience with autonomous driving, ADAS, mobile robotics, marine autonomy, UAV autonomy, or other safety-critical autonomous platforms.
• Experience deploying AI/ML models to embedded, edge, or GPU-accelerated systems.
• Knowledge of real-time operating systems or safety-critical software development.
• Experience with Kalman filters, probabilistic estimation, occupancy grids, route planning, and mission planning.
• Experience with synthetic data, digital twins, or simulation environments (CARLA, Gazebo, AirSim, or similar).
• Familiarity with safety, verification, and validation standards or processes.
• Experience leading small technical teams or owning major autonomy subsystems.

Skills

• Languages: C++, Python
• Frameworks/Libraries: PyTorch, TensorFlow, OpenCV, ROS/ROS2
• Core Concepts: Machine Learning, Deep Learning, Sensor Fusion, SLAM, Path Planning, Computer Vision, Navigation, Localization
• Tools: Linux, Git, Docker, CI/CD, simulation and test frameworks.