Job Description
THE WORK
The Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team is seeking a Machine Learning Production & Deployment Engineer. This position focuses on machine learning production and deployment from data, databases, displays, stack management, Kubernetes & large-scale infrastructure, and experiment management. The ideal candidate is passionate about a broad range of projects from research & development to prototype development, culminating in deployment of our products to customers. We are on the cutting edge, inserting AI into defense systems, delivered through our AI Factory in partnership with our lines of business. The role is based in Manassas, VA, co-located with our high-performance compute cluster, with telecommuting flexibility depending on program needs.
In this role you will:
• Create innovative machine-learning solutions and conduct creative ML work that advances AI capabilities.
• Develop and containerize software, integrating displays and databases to support end-to-end AI pipelines.
• Manage high-performance compute environments, leveraging Kubernetes and large-scale infrastructure for scalable deployment.
• Partner with peer engineering organizations and chief engineer offices to align technical strategies and ensure seamless integration.
• Deliver customer-focused solutions, deploying AI products to the edge and supporting operational use cases.
• Collaborate within a close-knit team, fostering knowledge sharing and continuous improvement
WHO YOU ARE
You are a skilled software and DevOps professional with deep expertise in machine learning production, containerization, and large-scale infrastructure, able to collaborate across engineering teams and deliver AI solutions that meet customer needs.
Basic Qualifications
• Bachelor's or Master's Degree is Software Engineering, Computer Science, Machine Learning, or related STEM degree
• 1 year of experience required
• Experience with AI/ML: disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
• DevOps experience including CI/CD pipelines to build, test, deploy
• Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab
Desired skills
• Experience with C/C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.)
• Experience with production ML and High Performance Compute Development Experience
• Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
• Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers
• Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics • Not afraid to challenge the existing approach to solutions
• Comfortable working in a fast paced and dynamic multi-disciplinary environment
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $99,000 - $171,580. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
