Senior Developer – AI/ML Autonomous Driving & Navigation

Senior Developer – AI/ML Autonomous Driving & Navigation

Location: Onsite Employment Type: Full-Time

About the Opportunity

Our client is a cutting-edge defense and maritime technology company operating at the forefront of autonomous surface vessel development. They are seeking an experienced Senior Developer to join their software team and build out a suite of autonomy and control software for Unmanned Surface Vessels (USVs). The platform encompasses onboard vessel control components, ground-based user stations, and network-distributed components — all pushing the boundary of autonomous maritime navigation.

This role focuses on machine learning, perception, navigation, path planning, sensor fusion, and real-time decision-making for autonomous platforms operating in dynamic environments.

Position Summary

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.

Key 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.

Required Qualifications

• 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.
• Experience with ML frameworks (PyTorch, TensorFlow, or equivalent).
• Experience developing perception or navigation algorithms for autonomous systems.
• 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
• Experience with robotics middleware or autonomy frameworks such as ROS/ROS2 or equivalent.
• Experience with message bus and microservice-based architectures.
• Hands-on experience with real-world sensor data from LiDAR, radar, cameras, GPS, and IMU.
• Familiarity with simulation tools and data analysis workflows.
• Proficiency in Linux-based development environments, Git, CI/CD, and modern software engineering practices.
• Strong debugging, problem-solving, and system integration skills.
• Ability to work effectively in cross-functional teams.

Preferred Qualifications

• 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 s