About this opportunity
Lockheed Martin lists this A/AI Machine Learning Engineering - E2 opportunity in fort worth, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Standard Job Description We are seeking an Applied AI Software Engineer to help accelerate the integration of advanced artificial intelligence and machine learning capabilities into complex software systems and simulation environments. This role sits at the intersection of software development, system integration, and applied AI—enabling rapid capability delivery across virtual and hardware lab environments.
Standard Job Description We are seeking an Applied AI Software Engineer to help accelerate the integration of advanced artificial intelligence and machine learning capabilities into complex software systems and simulation environments. This role sits at the intersection of software development, system integration, and applied AI—enabling rapid capability delivery across virtual and hardware lab environments. You will work alongside software developers, system engineers, and test teams to integrate, evaluate, and mature AI-enabled features prior to formal system integration, verification, and validation. The ideal candidate is a strong software engineer who is comfortable working across system boundaries and is motivated to apply AI to solve real-world engineering challenges.
Key Responsibilities
Integrate AI/ML capabilities into existing and emerging software systems, simulation frameworks, and lab environments
Collaborate with software developers to incorporate AI-driven features early in the development lifecycle
Develop and maintain integration pipelines across virtual and hardware-based test environments
Design, implement, and evaluate AI-enabled workflows for system-level capabilities
Troubleshoot complex integration issues spanning software, data, and system interfaces
Contribute to the development of tools, automation, and infrastructure that enable scalable AI integration
Work with cross-functional teams to define data requirements, interfaces, and performance metrics for AI-enabled development
Advocate and champion use of AI throughout the development lifecycle
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, Software Engineering, Electrical Engineering, or related field
1+ years of experience in software engineering or systems integration
Strong programming skills in one or more of the following: Python, C++, Java
Experience applying and integrating AI/ML concepts and frameworks (e.g., model integration, inference pipelines, or data processing workflows)
Experience working in Linux-based development environments
Desired Skills Ability to debug and resolve complex, cross-domain technical issues
Experience working with software integration, APIs, and distributed systems
Experience integrating machine learning models into production or test environments
Familiarity with simulation environments or hardware/software lab integration
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Knowledge of data pipelines, MLOps practices, or model lifecycle management
Experience with real-time or embedded systems
Pay Information Full-Time Salary Range: $ - $
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.
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Worksite address
fort worth, TX, 76102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.