AI Mission System Engineering & Development Sr Mgr

Lockheed Martin; Fort Worth (TX); On-site; USD 190,000 - 339,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) match

PTO

Holidays

Parental Leave

EAP

FSAs

Life Insurance

ST Disability

LT Disability

Job summary

Lockheed Martin's Artificial Intelligence Center (LAIC) seeks a Machine Learning Engineering Manager to provide leadership to a team of AI/ML engineers. You will guide projects from rapid prototyping to long-term integration, overseeing system development across the full lifecycle and ensuring standards and processes are applied.

You will advance software engineering practices, apply AI techniques to state-of-the-art technologies, and focus on tech areas that enhance the reliability of kinetic

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related discipline.
• Experience leading software-intensive programs and virtual teams.
• Strong understanding of Agile principles and SDLC.

Responsibilities

• Provide functional and technical leadership to a team of AI/ML engineers throughout the project lifecycle.
• Drive AI system development, integration, and testing across multiple programs.

Skills

Leadership experience

Agile principles

Excellent communication

Security clearance

US citizenship

Virtual teams

System development lifecycle

Education

Bachelor’s degree in Engineering, Computer Science, or related discipline

Tools

Docker

Git

CI/CD

CUDA

Linux

Python

C++

OpenCV

Job description

Standard Job Description

The Lockheed Martin Artificial Intelligence Center (LAIC) team is looking for a Machine Learning Engineering Manager who will provide functional and technical leadership to a team of Artificial Intelligence & Machine Learning engineers. The ideal candidate will possess passion for conceptualizing, building, testing and maturing AI systems. The selected candidate will lead a range of projects including short-term sprints (rapid prototyping) and long-term engagements (integration, maturation of prototypes) and will be responsible for the technical execution of AI system development and integration activities for a number of simultaneous programs for the Cognitive Weapons & Effectors team. The chosen candidate will be engaged in system development activities throughout the entire project life cycle, including requirements generation, system and software design, implementation, integration (often in classified spaces) and flight test while ensuring the appropriate standards, processes, procedures, and tools are applied on assigned programs. This candidate will apply technical standards, principles, theories, concepts and techniques in the software field to develop tangible, differentiated and meaningful solutions aimed at significantly enhancing the sustainment of complex systems and enabling future hyper-battlespace capabilities. The chosen candidate will also advance the craft of software engineering, implementing new techniques and leverage AI to create state-of-the-art technologies. The selected candidate should expect to focus on specific technology areas that will enhance the effectiveness and reliability of kinetic and non-kinetic effectors.

The Lockheed Martin Artificial Intelligence Center (LAIC) team is looking for a Machine Learning Engineering Manager who will provide functional and technical leadership to a team of Artificial Intelligence & Machine Learning engineers. The ideal candidate will possess passion for conceptualizing, building, testing and maturing AI systems. The selected candidate will lead a range of projects including short-term sprints (rapid prototyping) and long-term engagements (integration, maturation of prototypes) and will be responsible for the technical execution of AI system development and integration activities for a number of simultaneous programs for the Cognitive Weapons & Effectors team. The chosen candidate will be engaged in system development activities throughout the entire project life cycle, including requirements generation, system and software design, implementation, integration (often in classified spaces) and flight test while ensuring the appropriate standards, processes, procedures, and tools are applied on assigned programs. This candidate will apply technical standards, principles, theories, concepts and techniques in the software field to develop tangible, differentiated and meaningful solutions aimed at significantly enhancing the sustainment of complex systems and enabling future hyper-battlespace capabilities. The chosen candidate will also advance the craft of software engineering, implementing new techniques and leverage AI to create state-of-the‑art technologies. The selected candidate should expect to focus on specific technology areas that will enhance the effectiveness and reliability of kinetic and non‑kinetic effectors.

From a functional perspective, the candidate will provide career development & guidance, perform merit and salary actions, develop training plans, and support recruiting, hiring and staffing activities. In addition, the selected candidate will support the development of product line road maps, pursue new business opportunities, and assist in new business captures. The candidate must exhibit self‑motivation, a strong work ethic, time management and interpersonal skills.

Basic Qualifications

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Proven leadership experience in engineering assignments and successful proven results in leading and executing on software intensive programs
• General knowledge of Agile principles
• Proven experience leading virtual teams
• Strong and proven understanding of the engineering development process
• Ability to multi-task
• Excellent communication skills
• Secret Security Clearance
• Must be a US Citizen

Desired Skills

• Experience in modern Computer Vision, RF signal processing & Track Processing
• Experience in autonomy and developing autonomous systems.
• Experience using machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, etc)
• Experience with Python and libraries for scientific computing (NumPy, OpenCV, Scikit, Pandas, etc.)
• Basic understanding of web application development (React, Angular, TypeScript, etc.)
• Background in high-performance computing (CUDA)
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
• Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
• Experience developing applications on Linux
• Experience with C++
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Top Secret / SCI Security Clearance
• Experience deploying AI capabilities to SAPs

Pay Information

Full‑Time Salary Range: $182500.00 - $338900.00

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.