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# Ontology Agentic Software Engineer

- **Company:** Lockheed Martin
- **Location:** Bethesda, MD, United States
- **Salary:** $150,800.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Engineering, Continuous Integration, Software Debugging, Human-Computer Interaction, Python (Programming Language), Machine Learning, Motion Planning, Tensorflow, Azure Machine Learning, Sensor Fusion, Software Engineering, Verification and Validation (Software), Pytorch, Large Language Models, Deep Learning, Software Troubleshooting, Generative AI, Information Technology, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3377304800&tx=YT707CTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Robotics, Applied Mathematics, or a related STEM field, and 9 years of relevant experience; or a Master's degree and 7 years; or a PhD and 4 years.
 * Experience developing and implementing machine learning, AI, or autonomy algorithms, such as perception, planning, or controls.
 * Proficiency programming in Python and/or C++.
 * Experience taking algorithms from prototype through integration and test into a deployed or fielded software product.
 * Experience translating requirements into software design and implementation.

Desired Skills

 * Deep learning frameworks such as PyTorch or TensorFlow.
 * Applied LLM or generative AI experience on engineering or mission problems.
 * MLOps: model deployment, monitoring, and CI/CD for ML systems.
 * Robotics and autonomy stacks such as ROS, sensor fusion, or motion planning.
 * Cloud ML platforms (AWS, Azure, or GCP).
 * Human machine interface design experience.
 * Model verification and validation, test, or safety-critical software process experience.
 * Experience mentoring engineers or leading technical tasks.

## Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test
outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces


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