AI systems engineer machine learning expertise

Requirements

• Bachelors Degree in Engineering, Computer Science, or a related field
• Proficient in JavaScript or Type Script
• Experienced with Angular, React, or Node
• Strong knowledge of Git version control
• Familiar with Dev Ops tools such as Docker, Kubernetes, Git Lab, or Jenkins
• Holds a Secret Security Clearance
• Masters Degree in Engineering or Computer Science is preferred
• Knowledge of communication protocols, ideally REST or gRPC
• Experience with messaging protocols like Kafka, Active
  
  MQ, or ZeroMQ
• Programming experience in Rust, Go, Java, or Node
• Familiarity with Test-Driven Development practices
• Experience in software orchestration and Git Ops workflows
• Background in developing microservices
• Knowledge of defense mission systems
• Experience in real-time embedded software development
• Expertise in hardware-accelerated computing (e.g., CUDA, Intel oneAPI)
• Experience with model deployment software like NVIDIA TensorRT
• Ability to deploy AI-enabled systems across various environments
• Familiarity with high-performance computing
• Experience interfacing with databases such as SQL or MongoDB
• Leadership experience in mentoring engineers or small teams
• Knowledge of transitioning software from prototype to production
• Top Secret/SCI Clearance is a plus

• Develop software applications that leverage Artificial Intelligence capabilities for our clients
• Involved in all stages of the system development lifecycle from generating requirements to flight testing
• Execute a variety of activities including proofs of concept, prototype development, and production transition
• Apply object-oriented programming, data structures, and algorithms to solve challenging problems
• Utilize concurrency techniques and have familiarity with I/O systems
• Assume the role of technical lead and guide junior engineers as necessary

We at Lockheed Martin are dedicated to revolutionizing the Artificial Intelligence sector and are eager to welcome a driven individual to our Applied AI team, particularly within the STAR.OS portfolio. This role offers the chance to engage in diverse projects that range from prototype development to deployment, contributing innovative solutions that enhance our clients capabilities. We provide a flexible work environment, allowing for remote and on‑site collaboration.

Our culture promotes creativity, empowerment, and diversity, ensuring every team member feels valued and inspired. Join us to build a better tomorrow!