Austin Bergstrom International Airport (AUS)
AI Software & System Architect Sr - DevSecOps (on-site, Moorestown NJ)
Austin Bergstrom International Airport (AUS), Pennsauken, New Jersey, United States
Description
Are you ready to join a team that's pushing the boundaries of innovation and making a real impact in the field of artificial intelligence? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and skilled individual to support the Applied AI team and radar track processing product portfolio, DevSecOps, software, data science, data at scale, artificial intelligence, and are passionate about working on a broad range of projects that can make a real difference, we want to hear from you.
What you’ll be doing
Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
Analyzing customer data and assessing ML model performance to identify areas for improvement
Developing and updating ML models to address evolving operational requirements
Collaborating with cross‑functional teams to rapidly iterate and mature solutions
Providing continuous maintenance for deployed products using machine learning operations paradigms
Who are you
A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning
Excellent self‑motivation, work ethic, time management, and interpersonal skills
The ability to work effectively in a team environment and collaborate with cross‑functional teams
A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products
The ability to obtain and maintain a security clearance
A US Citizenship requirement due to the nature of the work
Ability to work on site at LM Moorestown between 50% and full time, with occasional off‑hours work required to meet mission requirements
Basic Qualifications
Bachelor's Degree in Engineering, Computer Science, or other related discipline
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)
Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
Ability to obtain a Secret government security clearance
Desired Skills
Master’s Degree in Engineering, Computer Science, or other related discipline
Skilled in leading long‑term programs related to software and machine learning
Experience interfacing with databases (SQL, MongoDB, etc.)
Experience with machine learning model training and analysis through open‑source frameworks (PyTorch, TensorFlow, Sklearn, Keras, etc)
Experience with Rust, C++, and other compiled languages
Experience with test events or integration activities
Experience coordinating long‑term program execution across organizations
Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Security Clearance Statement This position requires a government security clearance. You must be a US Citizen for consideration.
Clearance Level: Secret
Schedule for this Position 4x10 hour day, 3 days off per week.
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 $104,900 - $184,920. 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.
Equal Opportunity Employer Statement Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
#J-18808-Ljbffr
What you’ll be doing
Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
Analyzing customer data and assessing ML model performance to identify areas for improvement
Developing and updating ML models to address evolving operational requirements
Collaborating with cross‑functional teams to rapidly iterate and mature solutions
Providing continuous maintenance for deployed products using machine learning operations paradigms
Who are you
A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning
Excellent self‑motivation, work ethic, time management, and interpersonal skills
The ability to work effectively in a team environment and collaborate with cross‑functional teams
A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products
The ability to obtain and maintain a security clearance
A US Citizenship requirement due to the nature of the work
Ability to work on site at LM Moorestown between 50% and full time, with occasional off‑hours work required to meet mission requirements
Basic Qualifications
Bachelor's Degree in Engineering, Computer Science, or other related discipline
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)
Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
Ability to obtain a Secret government security clearance
Desired Skills
Master’s Degree in Engineering, Computer Science, or other related discipline
Skilled in leading long‑term programs related to software and machine learning
Experience interfacing with databases (SQL, MongoDB, etc.)
Experience with machine learning model training and analysis through open‑source frameworks (PyTorch, TensorFlow, Sklearn, Keras, etc)
Experience with Rust, C++, and other compiled languages
Experience with test events or integration activities
Experience coordinating long‑term program execution across organizations
Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Security Clearance Statement This position requires a government security clearance. You must be a US Citizen for consideration.
Clearance Level: Secret
Schedule for this Position 4x10 hour day, 3 days off per week.
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 $104,900 - $184,920. 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.
Equal Opportunity Employer Statement Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
#J-18808-Ljbffr