Develops, integrates, tests, and deploys autonomy, artificial intelligence, and machine-learning algorithms for mission systems. Translates requirements into software, builds perception, planning, controls, and human-machine interface capabilities, and supports the full development lifecycle. Responsibilities include model training, software integration, troubleshooting, debugging, test evaluation, and documentation. The role also collaborates across teams using Agile practices and supports mission-critical product and platform development.
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
- Proficiency in one or more of the following programming languages: Python, Java, C++, or C#
- Proficiency with one or more of the following: PyTorch or Tensorflow
- Experience with Agile methodologies (e.g., Scrum, Kanban)
- Experience with one or more search/analytics platforms and query languages of those platforms (e.g., Elasticsearch, OpenSearch)
- Active TS/SCI Security Clearance is required to start with the ability to obtain and maintain a TS/SCI with poly
- Excellent written and verbal communication skills
- Ability to work in a collaborative and team-based environment
Desired Skills
- Experience with building, training, and integrating machine-learning models into mission-critical software.
- Experience with version-control and DevSecOps principles and practices
- Advanced degree in a STEM discipline
- Experience with AWS or another cloud computing platform
- Experience with container orchestration platforms (e.g., Kubernetes, OpenShift)
#LMSpaceAI
Pay Information
Full-Time Salary Range: $110300.00 - $204900.00
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
Information Technology
Provides reactive, case-based support for Microsoft core infrastructure across multiple customer environments. Troubleshoots Windows Server, Active Directory, domain controllers, Group Policy, DNS, DHCP, SCCM, endpoint management, and related technologies. Manages service cases, documents resolutions, communicates with customers, meets service-level commitments, participates in on-call rotations, supports infrastructure improvements, and collaborates with technical teams. Provides customer guidance, peer mentoring, technical documentation, and escalation support while identifying potential customer needs.
Top Skills:
Active DirectoryAzureDhcpDnsDomain ControllersEndpoint ManagementGroup PolicyMicrosoft 365SccmWindows Server
Information Technology
Build and support enterprise data ingestion, transformation, modeling, and integration solutions using Microsoft Fabric and Azure data services. Develop batch, API, file, database, and event-driven pipelines; create dimensional and curated data models; write and optimize SQL; resolve data-quality and pipeline issues; and support production workloads. Collaborate in Agile engineering processes using GitHub, Azure DevOps, CI/CD, code reviews, and reusable development standards.
Top Skills:
Azure Data FactoryAzure Data LakeAzure DevopsAzure Key VaultAzure Service BusAzure SqlAzure StorageCi/CdDelta LakeGitGitJSONMicrosoft FabricPysparkPythonRest ApisSQLSQL Server
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Participates in a structured rotational IT program supporting digital transformation, enterprise technology, data, process improvement, and project delivery initiatives. Responsibilities include project planning, tracking, reporting, process analysis, documentation, dashboard development, testing, change management, stakeholder communication, data review, automation, prototyping, and translating business needs into technology solutions.
Top Skills:
Cloud TechnologiesCybersecurityEnterprise SystemsGitGitJIRAMS OfficeMicrosoft TeamsPower BISharepointSoftware DevelopmentTableauVisio
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
