#LI-DNI
Robotics EngineerBaton Rouge, LA
About the RoleInteger Technologies is seeking an Autonomy Engineer to support the design, development, and deployment of advanced autonomy software on maritime robotic platforms. This role involves end-to-end contributions across the autonomy stack-including perception, mapping, localization, and control-tailored for real-world performance in constrained and uncertain environments. The ideal candidate will have a strong background in sensor fusion, state estimation, and real-time robotics software development, with hands-on experience in both simulation and field testing. Candidates must be U.S. citizens, eligible for a DoD security clearance, and capable of working across multidisciplinary teams to deliver scalable, maintainable, and mission-ready systems. Experience in maritime autonomy, multi-agent coordination, and distributed systems is highly desirable.
Primary Responsibilities- Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including perception, localization, mapping, and control-in simulation and on physical robotic platforms.
- Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar, cameras) to help improve navigation and situational awareness using techniques like Kalman Filters or particle filters.
- Probabilistic Decision-Making & Autonomy Behavior Implement and tune probabilistic reasoning methods to support autonomous behavior selection in partially observable environments.
- Hardware-in-the-Loop (HIL) & Simulation-Based Testing Set up and use HIL environments and high-fidelity simulations to evaluate autonomy algorithms and ensure real-world readiness under varied operational scenarios and failure modes.
- Experimental Validation & Demonstration Execute field tests and simulations to validate autonomy behavior and system performance, using the results to refine system design.
- Documentation & Technical Communication Develop clear, concise technical documentation, including interface specifications, deployment guides, and post-test analysis reporting.
Required Qualifications- Must be a U.S. Citizen with the ability to obtain a US DoD Secret clearance.
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering or a related technical field; advanced degrees preferred.
- 2+ years of professional experience developing, deploying, or integrating autonomy software and hardware systems.
- Must have experience in the implementation of autonomy algorithms for perception, mapping, localization, and/or control.
- Integrate sensors (e.g., GPS, IMU, camera, LiDAR, sonar) for robust sensor fusion and situational awareness.
- Strong proficiency in modern programming languages (e.g., C++, Python) and experience with middleware such as DDS, MQTT, Zenoh, ROS, or other real-time communication frameworks.
- Familiarity with sensor fusion and state estimation techniques such as particle filters and Extended Kalman Filters with practical experience applying these methods to real-world robotic navigation and localization problems.
- Deep understanding of autonomy frameworks, decision-making algorithms, and real-time system constraints in distributed, multi-agent environments.
- Comfortable working in both field test environments and simulation environments; experience with hardware-in-the-loop (HIL) testing is advantageous.
- Excellent collaboration and communication skills, with the ability to interface across multidisciplinary teams and external partners.
Additional Desired Qualifications- Experience developing autonomy software for maritime, aerospace, or ground robotics systems operating in GPS-denied or communications-constrained environments.
- Experience defining requirements for robotics systems.
- Experience using Robot Operating System (ROS/ROS2).
- Knowledge of control theory and vehicle kinematics/dynamics
- Knowledge of distributed systems, multi-agent coordination, or swarm autonomy concepts.
- Hands-on experience with containerized deployment (e.g., Docker, Kubernetes) on embedded or ruggedized platforms.
- Active Secret or higher DoD security clearance.
