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.
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.
Lockheed Martin Aurora, Colorado, USA Office
Aurora, United States
Lockheed Martin Castle Rock, Colorado, USA Office
Castle Rock, United States
Lockheed Martin Denver, Colorado, USA Office
Denver, United States
Lockheed Martin Englewood, Colorado, USA Office
Englewood, United States
Lockheed Martin Lakewood, Colorado, USA Office
Lakewood, United States
Lockheed Martin Littleton, Colorado, USA Office
Littleton, United States
Lockheed Martin Thornton, Colorado, USA Office
Thornton, United States
Similar Jobs
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Provides independent legal counsel on healthcare regulations, employee benefits agreements, commercial contracts, AI initiatives, and product launches. Reviews pharmacy, telehealth, licensure, fraud and abuse, privacy, and healthcare product risks; negotiates agreements; develops AI governance processes, templates, playbooks, and training; monitors regulatory developments; and coordinates complex matters across legal, product, engineering, privacy, security, compliance, finance, and procurement teams.
Top Skills:
Artificial Intelligence (Ai)Telehealth
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills:
DbtGcp Bigquery
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Owns high-priority consumer growth opportunities from diagnosis through execution. Analyzes portfolio performance, identifies and prioritizes investments, develops growth strategies, leads cross-functional teams, designs experiments and operating mechanisms, and drives measurable improvements in revenue, conversion, retention, and lifetime value.
Top Skills:
SQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
