Jobs at Lockheed Martin

Plans and integrates production schedules, material requirements, cost and schedule baselines, risks, and program commitments. Performs critical-path and schedule-risk analysis, develops production requirements, tracks performance metrics, and recommends solutions to execution conflicts. Coordinates across functional teams, management, customers, and suppliers while preparing planning artifacts, briefings, and solicitation responses. Supports production planning, material flow, problem resolution, and program performance improvement.

Provides entry-level systems engineering support for Navy and Lockheed Martin customers sustaining Trident II missile support equipment. Develops technical solutions, guides equipment operations and maintenance, assists with discrepancy identification and repair, and applies mechanical and electrical engineering principles. The role requires extensive travel among Washington, Arizona, and Utah sites, plus eligibility for an Interim Secret and final DoD Secret clearance.

Coordinates aerospace engineering project integration, planning, reviews, milestones, and readiness activities. Leads cross-functional teams and integrated product teams, manages cost, schedule, technical scope, risks, compliance documentation, and issue resolution. Supports program reviews, customer collaboration, contract interpretation, system integration, design changes, testing, and operational readiness for strategic systems programs.

Entry-level Systems Engineer supporting equipment and systems operations, maintenance, production, inspection, testing, and repair at a Navy strategic weapons facility. Evaluates drawings, specifications, parts, processes, and documentation; performs functional, dimensional, and material analyses; coordinates material reviews; conducts root-cause investigations and corrective actions; and supports system and process improvements. The role requires day, occasional evening, weekend, and overtime support, some travel, U.S. citizenship, security clearance eligibility, and participation in reliability and radiological controls programs.

Supports the Fleet Ballistic Missile program across development, production, and post-production phases. Develops technical requirements, performs systems integration and verification, conducts engineering studies, analyzes root causes and metrics, and drives corrective actions. Works with mechanics, Navy personnel, and civil service teams to resolve system-design and maintenance issues, perform Material Review Board actions, and improve electro-mechanical systems and processes. Requires day and swing shift support, occasional overtime, and travel to other FBM sites.

Build and deploy production AI systems centered on ontologies, knowledge graphs, and agent workflows. Translate enterprise data and user needs into semantic models, graph systems, and reliable software. Develop evaluation, testing, observability, security, and deployment controls across AI, data, application, and infrastructure layers. Work directly with domain experts, lead technical delivery, mentor engineers, and convert customer engagements into reusable platform capabilities.

Lead architecture and delivery of production AI systems involving agents, ontologies, knowledge graphs, semantic models, and enterprise data integrations. Translate ambiguous user needs into secure, reliable capabilities; establish governance, evaluation, traceability, and human-review practices; guide deployments across cloud platforms, APIs, databases, and applications; resolve complex system issues; mentor engineers; and convert customer-specific solutions into reusable platform capabilities.

Leads the design, development, governance, and productization of enterprise data models, pipelines, data products, and ontologies. Builds machine-learning-ready datasets, implements security and lineage controls, optimizes Databricks and Delta Lake environments, establishes data-product standards, collaborates with architects and data scientists, and mentors engineering talent. The role also defines product roadmaps, service levels, usage metrics, and continuous-improvement processes for enterprise data assets supporting AI agents, analytics, and applications.

Build and deploy production AI systems focused on ontologies, semantic models, and knowledge graphs. Translate enterprise data and user needs into AI agent workflows, software services, APIs, and graph systems. Develop evaluation, testing, observability, security, and deployment controls for AI and data products. Work directly with domain experts, lead technical delivery, resolve production issues, present architectural decisions, review code, mentor engineers, and convert customer engagements into reusable platform capabilities.