AI Hardware Engineer and Full Stack Engineer Staff

Lockheed Martin is looking for a dynamic engineer to join their AI Center, AI Factory. The role involves designing and delivering innovative hardware and cloud-native solutions that power advanced mission programs, as well as supporting the development and maintenance of applications and IT infrastructure for cutting-edge AI solutions.

Responsibilities:

• Being a key technical resource for our hands-on Mission Enablement team, working closely with program engineering teams across all Lockheed Martin business areas
• Designing, developing, documenting, and testing infrastructure hardware
• Developing creative, straightforward solutions to technical and user experience challenges
• Designing and deploying hardware and cloud-based infrastructure using Infrastructure as Code solutions
• Deploying and sustaining complex Kubernetes platform offerings
• Providing inputs towards the architecture solution for software development environments
• Familiarity with AI and Machine Learning Services across cloud and on-premise environments
• Travel to support demonstration integration efforts

Requirements:

• 3 years of demonstrated experience with Linux, Kubernetes and some Windows administration
• Demonstrated experience with NVDIA GPU, Google TPU or ASICs
• Demonstrated experience with network hardware
• Demonstrated experience with compute, storage and network hardware
• Demonstrated experience with modern software development concepts such as CI/CD, Containerization, Infrastructure as Code
• Must be near a major Lockheed Martin Facility with classified connectivity
• Some travel is required
• A Secret security clearance is required
• Cisco Certified Network Associate (CCNA)
• Cisco Certified Network Professional (CCNP)
• Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE) or Linux Foundation Certified Systems Administrator (LFCS)
• CompTIA Linux+
• CompTIA Security+
• 3 or more years of experience engineering, managing, and deploying cloud and on prem infrastructure (Azure, AWS, VMware,etc)
• 3+ years of experience developing infrastructure software, with strong proficiency in Linux/Unix, Python, Go, and Rust
• Experience with deployment and management of enterprise Kubernetes infrastructures and associated services
• Demonstrated experience with on prem shared storage solutions (eg NetApp) and cloud storage solutions (eg S3 or Blob Storage)
• Ability to obtain TS/SCI Clearance