AI/ML Engineer

Lockheed Martin•Sunnyvale, CA

1d•Onsite

About The Position

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. 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

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
Active Top Secret clearance required; must be a U.S. Citizen and able to obtain SCI eligibility

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