A/AI Machine Learning Engineering - E2
Lockheed Martin
- Location
- Manassas,US-VA,United States
- Work model
- On-Site
- Level
- Mid
- Posted
- 2d ago
Skills
About this role
Standard Job Description WHAT WE’RE DOING At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.
WHO WE ARE
In this exciting role, you will have the opportunity to collaborate with industry-leading design professionals and contribute to groundbreaking projects. Be a part of the Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team working with the Advanced Development Team on the Integrated Common Processor (ICP) program. The ICP program provides a common Integrated Undersea Surveillance Systems (IUSS) signal processing and display system software and hardware suite for the US Navy. Work with our team as we develop cutting edge tools for our Navy customer through the integration of Artificial Intelligence and Machine Learning capabilities into tactical systems. In this position you will be responsible for: • Software development and debugging of an MLOps workflow integrated into a tactical system both in the lab and at customer sites • Dataset curation, labeling, and training AI/ML models • Validating and analyzing AI/ML algorithm results, iteratively improving results • Generating data sets for use by the team in system testing and algorithm development • Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time) WHO YOU ARE To excel in this role, you should possess the following qualifications and attributes: •An innovative mindset, capable of finding solutions to complex engineering challenges. •Commitment to excellence, attention to detail, and a dedication to delivering high-quality results. Why Join Us Your Health, Your Wealth, Your Life Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy: •An excellent working environment equipped with state-of-the-art tools. •The opportunity to work alongside industry leaders and top-notch design professionals as well as Subject Matter Experts in Sonar and Acoustics. •A chance to be a part of solving some of the world's most challenging engineering problems regarding highly complex and integrated subsystems. •A culture that encourages creativity, excellence, and the development of remarkable products. Basic Qualifications • Bachelor's or Master's Degree is Software Engineering, Computer Science, Machine Learning, or related STEM degree • Experience in Software development, integration, and test • Familiarity with Linux • Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab Desired Skills • Experience with AI/ML disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets • DevOps experience including CI/CD pipelines to build, test, deploy • Experience with Acoustic Displays – reading Sonar GRAMS • Experience with IUSS • Experience with C/C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.) • Experience with production ML and High Performance Compute development systems • Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule • Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers • Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the