A/AI Research Engineer Sr Mgr - L6

Posted 12 Hours Ago
Be an Early Applicant
3 Locations
In-Office
164K-424K Annually
Senior level
Aerospace • Security • Cybersecurity • Industrial
The Role
Leads research and development of AI, machine learning, robotics, and autonomy technologies for defense and commercial applications. Directs technical teams, advances algorithms for perception, planning, control, and mission systems, and guides technologies from research through prototype development, integration, evaluation, and delivery. Builds customer relationships, shapes technical strategies and R&D programs, manages research portfolios, and communicates complex AI concepts to executives, scientists, customers, and program leaders.
Summary Generated by Built In
Standard Job Description

Leads those focused on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Leads the research and discovery of improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.  Proficient in AI prompting as it applies to this position and practice. 

Basic Qualifications
  • Bachelor’s degree in engineering, computer science, mathematics, physics, or a related technical field.
  • Ten or more years of professional experience in artificial intelligence, machine learning, autonomy, robotics, or a closely related field.
  • Five or more years of experience leading technical teams, research organizations, or engineering programs.
  • Demonstrated experience leading AI or autonomy technology from inception through integration, evaluation, and delivery to an internal or external customer.
  • Experience building customer relationships and translating mission or business needs into technical strategies and executable programs.
  • Ability to critically evaluate advanced AI and autonomy concepts and communicate complex technical matters clearly to scientists, program leaders, customers, and senior executives.
  • Ability to obtain and maintain a U.S. Government TS/SCI security clearance.
Desired Skills
  • Master’s degree or PhD in a relevant technical discipline.
  • Experience in aerospace, defense, intelligence, or national-security missions.
  • Experience shaping, winning, and executing government-sponsored 6.1, 6.2, or 6.3 research and development programs.
  • Demonstrated success managing a new-business pipeline, leading competitive captures and proposals.
  • Experience managing an R&D portfolio and associated technolgoy roadmaps.
  • Technical knowledge across several relevant areas, including automated command and control, battle damage assessment, autonomous planning and control, multi-agent systems, human-machine teaming, computer vision, reinforcement learning, edge AI, generative AI, and AI assurance.
  • Experience establishing productive research partnerships with government laboratories, universities, or small businesses.
  • Record of technical accomplishment demonstrated through delivered systems, successful programs, patents, publications, invited presentations, or recognized leadership in the AI community.

Pay Information

GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role. 

  • Full-time salary range (GEOZONE 1): $228100.00 - $423700.00 
    • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
  • Full-time salary range (GEOZONE 2): $205300.00 - $381300.00 
    • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
  • Full-time salary range (GEOZONE 3): $182500.00 - $338900.00
    • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
  • Full-time salary range (GEOZONE 4): $164200.00 - $305000.00
    • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. 

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.

Skills Required

  • Bachelor's degree in engineering, computer science, mathematics, physics, or a related technical field.
  • Ten or more years of professional experience in artificial intelligence, machine learning, autonomy, robotics, or a closely related field.
  • Five or more years of experience leading technical teams, research organizations, or engineering programs.
  • Experience leading AI or autonomy technology from inception through integration, evaluation, and delivery to an internal or external customer.
  • Experience building customer relationships and translating mission or business needs into technical strategies and executable programs.
  • Ability to critically evaluate advanced AI and autonomy concepts and communicate complex technical matters clearly to scientists, program leaders, customers, and senior executives.
  • Ability to obtain and maintain a U.S. Government TS/SCI security clearance.
  • Master's degree or PhD in a relevant technical discipline.
  • Experience in aerospace, defense, intelligence, or national-security missions.
  • Experience shaping, winning, and executing government-sponsored 6.1, 6.2, or 6.3 research and development programs.
  • Experience managing a new-business pipeline, competitive captures, and proposals.
  • Experience managing an R&D portfolio and associated technology roadmaps.
  • Technical knowledge across automated command and control, battle damage assessment, autonomous planning and control, multi-agent systems, human-machine teaming, computer vision, reinforcement learning, edge AI, generative AI, and AI assurance.
  • Experience establishing research partnerships with government laboratories, universities, or small businesses.
  • Record of technical accomplishment demonstrated through delivered systems, successful programs, patents, publications, invited presentations, or recognized AI community leadership.

Lockheed Martin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.

  • Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
  • Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.

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The Company
HQ: Bethesda, MD
108,588 Employees
Year Founded: 1912

What We Do

Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.

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