[Hiring] A/AI Software & System Architect Sr (DevSecOps)

Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)
• Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
• Full Knowledge of radar systems engineering, radar track processing, and general digital signal processing
• Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Ability to obtain a Secret government security clearance
Desired Skills:
• Master’s Degree in Engineering, Computer Science, or other related discipline
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience with C++, Java, GO, and other compiled languages
• Skilled in large dataset management, exploration, visualization, and analysis
• Skilled in leading programs, test events, integration activities, or live data collection activities
• Skilled in leading long-term programs related to software, machine learning and radar systems; coordinating long term program execution across organizations
• Skilled in training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring
Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
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.

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.

Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products.

The selected candidate for this role will lead the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements.

Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.

The selected candidate is required to work at LM Moorestown between 50% and full time on site depending on mission needs. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems. Flexible hours are available outside these requirements.

Must be a US Citizen.