Software Autonomy Engineer- Unmanned Underwater and Surface Vehicles

Lockheed Martin•Riviera Beach, FL

1d•Hybrid

About The Position

The Software Autonomy Engineer Early Career candidate will develop embedded software for autonomous underwater and surface vehicles, covering every phase of the software life‑cycle—from initial planning and requirements definition through detailed design and rigorous testing.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, AI, Machine Learning, Mathematics or related degree
Strong Programming Languages Development with C++ and Python
Experience with Autonomy/Machine Learning (AI/ML) solutions for system adaptability and predictive capabilities using tools like PyTorch or Tensor Flow
Worked autonomous navigation systems including tools like SLAM (Simultaneous Localization and Mapping) Navigation
Experience with perception architecture or forecasting systems using gaussian splatting models.
Experience with NVIDIA CUDA (Compute Unified Device Architecture) for optimize GPU computing performance
Experience utilizing automated CI/CD pipelines using Git for build and deployment
Experience utilizing Docker for container based micro service architectures
Experience with Deep Learning and Numerical Analysis
Experience with Sonar Systems and underwater optical imagery
Experience building code using Large language models (LLMs)
This position requires a government security clearance, you must be a US Citizen for consideration.

Nice To Haves

Hardware I/O: Serial, Analog/Digital, Ethernet
Strong Mathematics and Data Analysis
Experience with Linux Operating System
Programming in Languages Rust or Go
Ability to conduct offshore testing
Autonomy Path Planning algorithms

Responsibilities

Develop embedded software for autonomous underwater and surface vehicles.
Cover every phase of the software life‑cycle—from initial planning and requirements definition through detailed design and rigorous testing.