Autonomy / AI Software and Systems Architect Senior

Lockheed Martin•Fort Worth, CA

23h•Hybrid

About The Position

Lockheed Martin is seeking an individual with a strong working knowledge in software engineering, Python, C++, and STAR.OS knowledge to support the Applied AI Mission Management team and product portfolio focusing on Cogniverse Mission Management. The team is focused on developing small, innovative teams to rapidly iterate and mature solutions from prototypes to production for utilization across the enterprise and the field for our customers. The selected candidate will focus on the development of simulation environments using STAR.OS. This will require engagement in every phase of the software/system development lifecycle including requirements generation, system and software design, implementation, testing and integration. Activities will range from low TRL research, proof of concepts, rapid prototyping and transition to production. The selected candidate can expect to have exposure to the latest AI paradigms in generative AI and reinforcement learning (RL) to create high fidelity training and simulation environments for a wide range of applications.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, other Engineering or related discipline from an accredited college, or equivalent experience, with 5 years of professional experience or 3 years of professional experience with a related master’s degree.
Strong expertise in Python and modern C++ programming.
Experience in system software engineering, deploying AI-first systems, AI/ML development and data curation and data pipelines.
Building and deploying software for mission systems, mission management and/or battle management in DoD domain.
This position requires a government security clearance, you must be a US Citizen for consideration.

Nice To Haves

Master’s Degree in Engineering, Computer Science, or other related discipline
Experience with defense industry operations analysis, multi-domain simulation, or related systems of systems analyses
Experience with multiple SW architectures, including monolithic, SOA, and microservices
Experience transitioning prototype technologies to production
Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
Experience with SW orchestration (Kubernetes) and distributed systems.
Experience with HW acceleration (GPUs, NPUs, etc)
Experience with high-performance computing
Experience developing applications on Linux
Exhibit self-motivation, time management and interpersonal skills
Experience with Unreal Engine

Responsibilities

Development of simulation environments using STAR.OS.
Engagement in every phase of the software/system development lifecycle including requirements generation, system and software design, implementation, testing and integration.
Activities will range from low TRL research, proof of concepts, rapid prototyping and transition to production.
Exposure to the latest AI paradigms in generative AI and reinforcement learning (RL) to create high fidelity training and simulation environments for a wide range of applications.