Senior Developer – AI​/ML Autonomous Driving & Navigation

Role:
Senior Developer - AI/ML Autonomous Driving & Navigation Domain:
Electronics and Electrical

Location:

Melbourne, Florida, USA

Experience:

7-20 Years Salary: USD 145000 - USD 165000 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

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.

• Design and develop software for autonomous navigation, including localization, mapping, perception, path planning, obstacle avoidance, 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.

• 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, Air Sim, or similar).
• Familiarity with safety, verification, and validation standards or processes.
• Experience leading small technical teams or owning major autonomy subsystems.

• Languages:
  
  C++, Python
• Frameworks/Libraries:
  PyTorch, Tensor Flow, 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.