The Role
Develops, integrates, tests, and deploys AI, machine learning, and autonomy algorithms for mission systems. Translates requirements into software, supports perception, planning, controls, and human-machine interfaces, and troubleshoots deployed capabilities. Leads technical teams and guides AI/ML efforts from research or prototype stages through operational delivery, including technical strategy, integration, testing, risk management, and mentoring. Work may involve time-series, telemetry, sensor, anomaly detection, forecasting, and predictive modeling applications in aerospace or defense systems.
Summary Generated by Built In
Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Demonstrated experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, software engineering, or a related discipline.
- Familiarity with time-series analysis, anomaly detection, forecasting, or predictive modeling.
- Experience transitioning AI/ML capabilities from research or prototype development into operational use.
- Strong communication skills with the ability to work effectively with engineering teams, program leadership, and customers.
- Active U.S. Department of Defense security clearance.
Desired Skills
- Experience leading AI/ML efforts involving time-series, telemetry, sensor, test, or other operational data.
- Experience mentoring engineers and fostering a collaborative, high-performing team environment.Ability to establish priorities, manage technical risks and dependencies, and align team execution with program objectives.
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Experience developing AI/ML technical strategies, capability roadmaps, or project execution plans.
- Experience overseeing machine-learning development, data engineering, software integration, or MLOps activities.Experience supporting aerospace, defense, or other mission-critical systems.
#LMSpaceAI
Pay Information
Full-Time Salary Range: $135700.00 - $251900.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Demonstrated experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in artificial intelligence, machine learning, data science, software engineering, or a related discipline.
- Familiarity with time-series analysis, anomaly detection, forecasting, or predictive modeling.
- Experience transitioning AI/ML capabilities from research or prototype development into operational use.
- Strong communication skills and ability to work effectively with engineering teams, program leadership, and customers.
- Active U.S. Department of Defense security clearance.
- Experience leading AI/ML efforts involving time-series, telemetry, sensor, test, or operational data.
- Experience mentoring engineers and fostering a collaborative, high-performing team environment.
- Ability to establish priorities, manage technical risks and dependencies, and align team execution with program objectives.
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Experience developing AI/ML technical strategies, capability roadmaps, or project execution plans.
- Experience overseeing machine-learning development, data engineering, software integration, or MLOps activities.
- Experience supporting aerospace, defense, or other mission-critical systems.
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
-
Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
-
Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
-
Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
