AI/ML Engineer

Lockheed Martin•Sunnyvale, CA

1d•Onsite

About The Position

Lockheed Martin Space is seeking a full-time AI/ML Software Engineer. In this role, you will be implementing Machine Learning solutions and learning about deep learning frameworks. The successful candidate will have experience with software development in C++ and Python, as well as familiarity with Agile development practices. Experience applying artificial intelligence and machine learning concepts, workflows, or software solutions to real-world problems is highly desired. The ideal candidate will understand how AI/ML capabilities can be integrated into larger software systems and mission applications. Applicants must be U.S. citizens and be eligible to obtain a government security clearance. This position is based at a facility requiring special access.

Requirements

Software development in C++
Software development in Python
Familiarity with Agile development practices
Experience applying artificial intelligence and machine learning concepts, workflows, or software solutions to real-world problems
Understanding of how AI/ML capabilities can be integrated into larger software systems and mission applications
U.S. citizens
Eligible to obtain a government security clearance
Active Top Secret clearance required
Demonstrated proficiency in developing efficient algorithms and performing analytical problem-solving using a numerical scripting language such as Python
Familiarity with C++ and experience working within object-oriented software frameworks

Nice To Haves

Experience integrating AI/ML solutions into operational software and mission systems
Understanding of how to transition AI/ML capabilities from development environments into deployed operational use
Experience evaluating and optimizing real-time AI/ML performance, including latency, throughput, and resource constraints
Familiarity with deploying AI/ML solutions in environments with real-time or near-real-time processing requirements
Ability to assess AI/ML system performance in operational contexts and identify opportunities for improvement
Experience with TensorRT and CUDA

Responsibilities

Implementing Machine Learning solutions
Learning about deep learning frameworks
Integrating AI/ML capabilities into larger software systems and mission applications
Assessing AI/ML system performance in operational contexts and identifying opportunities for improvement