June 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Leidos’ Undersea Systems Division is a recognized leader in C4ISR technologies, delivering innovative, mission-critical solutions across sensor networks, unmanned systems, and tactical platforms.
Ability to represent customer needs to platform engineering and drive cross-team technical direction.7+ years of industry experience building production systems, full-stack applications, data workflows, ML-powered products, or platform tooling (or 5+ years with an MS or PhD) Familiarity with modern frontend frameworks (React, Node.js, Webpack) for developer-facing UIs and internal platform tooling Proficiency in Python and hands-on experience with modern AI and data infrastructure, including Spark, Ray, gRPC, GraphQL, REST, or Kafka Experience with cloud environments, distributed systems, containers, and CI/CD pipelines Experience building developer platforms and tooling, SDKs, CLIs, agents, or internal tools Strong communication skills with the ability to translate ambiguous customer requirements into clear technical direction and drive cross-team alignment BS, MS, or PhD in Computer Science, Software Engineering, Machine Learning, or equivalent with applicable experience Strong understanding of the ML lifecycle - experiment tracking, model packaging, distributed training, evaluation pipelines, deployment strategies, feedback loops, observability, and data governance High ownership mindset, comfortable operating in fast-moving and ambiguous environments. Build advanced ML workflows such as distributed training, tuning, feedback loops, observability, and evaluation pipelines Partner with customer teams to understand ML product requirements, identify integration challenges, and drive cross-lifecycle technical decisions (data, training, evaluation, deployment, monitoring).