Requirements
Must have:
- Minimum of 3 years of proven experience with Linux, Kubernetes, and some Windows administration - Demonstrated experience working with NVIDIA GPU, Google TPU, or ASICs - Experience in handling network hardware - Proficient in compute, storage, and networking hardware - Familiarity with contemporary software development methodologies such as CI/CD, Containerization, and Infrastructure as Code - Proximity to a major Lockheed Martin facility with classified access is essential - Willingness to travel as required - A Secret security clearance is mandatory
Responsibilities:
- Serve as a crucial technical resource for our hands-on Mission Enablement team while collaborating with program engineering teams across all sectors of Lockheed Martin - Design, develop, document, and test infrastructure hardware - Create innovative, user-friendly solutions to address technical and user experience challenges - Design and implement hardware and cloud infrastructure utilizing Infrastructure as Code - Deploy and maintain complex Kubernetes platform offerings - Contribute to architectural solutions for software development environments - Gain familiarity with AI and Machine Learning services in both cloud and on-premise settings - Travel to assist with demonstration integration efforts
Company:
At Lockheed Martins AI Center, AI Factory, we are seeking a proactive engineer to join our fast-paced Mission Enablement Team. We focus on designing and delivering innovative, scalable solutions for advanced mission programs while working with the latest technologies in AI and cloud computing. This position offers an exceptional chance to have a significant impact on our AI initiatives, engage in innovative solution development, and work with cutting-edge infrastructure. Our location allows for close access to major Lockheed Martin facilities, ensuring collaboration and growth.
Lockheed Martin