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Senior Autonomous Navigation Engineer

Intrepidus Talent Solutions
Melbourne, FL

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Job Details

Full-time
$130,000 - $175,000 a year
6 days ago

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance

Qualifications

AI models
Systems integration
Software engineering
Software deployment
Integration Architecture Design (Architecture design skills)
Git
AI platforms (beyond public GPTs)
Computational framework
Master's degree
Microservices
Model deployment
Embedded software
Distributed systems
Continuous integration
Navigation systems
Model training
System deployment
Linux
Robot vision
Machine learning libraries
Electrical Engineering
Middleware systems
Machine learning frameworks
Sensors
Cross-functional communication

Full Job Description

We are seeking an Experienced Software Developer – AI/ML Autonomous Driving & Navigation to join our software team to build out the suite of our Un-manned Surface Vessel (USV) autonomy and control software. You will develop USV control systems comprised of on-board vessel control components, ground-based user stations and network distributed components on the cutting edge of autonomous 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.

You will bring strong experience in AI/ML-based autonomy, robotics software, maritime navigation systems implementing COLREGs 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 driving 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 test 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.
Experience developing perception or navigation algorithms for autonomous systems.
Strong understanding of one or more of the following:
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 micro-service based architectures
Experience working with real-world sensor data from LiDAR, radar, cameras, GPS, and IMU.
Familiarity with simulation tools and data analysis workflows.
Experience with 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 such as CARLA, Gazebo, AirSim, or similar.
Familiarity with standards or processes related to safety, verification, and validation.
Experience leading small technical teams or owning major autonomy subsystems.

Technical Skills

Languages: C++, Python
Frameworks/Libraries: PyTorch, TensorFlow, OpenCV, ROS/ROS2
Concepts: Machine Learning, Deep Learning, Sensor Fusion, SLAM, Path Planning, Computer Vision, Navigation, Localization
Tools: Linux, Git, Docker, CI/CD, simulation and test frameworks
Nice to Have: CUDA, embedded GPU platforms, real-time systems, cloud-based model training pipelines

Success Criteria

In this role, success will include:

Delivering reliable autonomy software that performs in simulation and field environments
Improving perception, navigation, and decision-making accuracy and robustness
Reducing integration risk through disciplined software architecture and testing
Helping mature AI/ML autonomy capability from concept to deployable product
Serving as a senior technical contributor and trusted leader within the autonomy team

Pay: $130,000.00 - $175,000.00 per year

Benefits:

Dental insurance
Health insurance
Paid time off
Vision insurance

Work Location: In person

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