AI/ML Production and Deployment Engineer Associate
Lockheed Martin •
Position Type: Permanent
Job Description:
Description:At Lockheed Martin Rotary and Mission Systems we are driven by innovation and integrity. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin employee. Lockheed Martin values your skills, training and education. Come and experience your future! The Lockheed Martin Rotary and Mission Systems (RMS) Systems of Systems Artificial Intelligence (AI) team is looking for a Machine Learning Production and Deployment Engineer to focus on machine learning production and deployment from data, experiment management, databases, displays, stack management, and large scale infrastructure. 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 successful candidate will have a strong background in areas like: software engineering, DevOps, artificial intelligence and machine learning. Key responsibilities include: creative ML work, software development & containerization, display & database integration, high performance compute environment, partnering with the peer engineering organizations and chief engineer offices, customer focused work & deployment to the edge, while working with a close knit team. This role is based on Manassas, VA and co-located with our high performance compute cluster, with telecommuting flexibility depending on program needs. If you’re ready to fuel your passion and challenge the status quo, join Lockheed Martin’s RMS Artificial Intelligence team today. You are meant to make a difference.
Basic Qualifications:
Bachelors Degree is Software Engineering, Computer Science, Machine Learning, or related STEM degree
Experience with AI/ML: disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
Willing to work onsite with our team in Manassas, VA in our advanced development lab
Desired Skills:
Experience with large scale infrastructure like Kubernetes or Kubeflow
Experience with DevOps including CI/CD pipelines to build, test, deploy
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
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
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 Schedules: 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.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the worlds most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: 4 yr and up College
Business Unit: RMS
Relocation Available: Yes
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
Experience with large scale infrastructure like Kubernetes or Kubeflow
Experience with DevOps including CI/CD pipelines to build, test, deploy
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
Job Ident #:
61251405248
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