AI/ML Engineering Manager (Signal Processing)

Posted 2 Days Ago
Be an Early Applicant
9 Locations
Hybrid
167K-310K Annually
Expert/Leader
Aerospace • Security • Cybersecurity • Industrial
The Role
Leads teams developing, integrating, and deploying AI/ML capabilities for radar, communications, electronic warfare, and other sensor-level applications. Establishes technical roadmaps, manages staffing and workloads, mentors engineers, supports proposals and customer engagements, and collaborates with program, systems engineering, software, and customer teams. The role requires expertise in machine learning, signal processing, sensing systems, mission-critical software integration, and technical leadership.
Summary Generated by Built In
Standard Job Description

Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in electronic warfare, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to guide the development of advanced sensor-level AI capabilities across a wide range of mission-focused projects. With a focus on technical excellence, functional leadership, rapid iteration, and deployment, you'll help develop teams and capabilities that make a real impact across the Lockheed Martin enterprise.
What you'll be doing:
• Leading the development and transition of AI and machine learning capabilities for sensor-level applications supporting Lockheed Martin radar, communications, electronic warfare, and signal processing systems
• Establishing and maintaining technical roadmaps that align sensor-level AI investments, capability development, and program needs
• Providing functional leadership through team development, staffing plans, workload management, mentoring, and coordination of technical assignments
• Supporting technical proposals, white papers, customer engagements, and internal investments by shaping credible AI/ML approaches and execution plans
• Collaborating with program, systems engineering, software, and customer teams to address evolving mission requirements
Who are you:
You are a motivated, professional, and independent leader with experience applying artificial intelligence and machine learning to signal processing or related sensing systems. You possess:
• Strong leadership and organizational skills, with the ability to develop technical roadmaps, balance staffing demands, and guide teams toward program and portfolio objectives
• A strong technical foundation in AI/ML model development, evaluation, integration, and deployment for signal-processing or sensing applications
• Excellent interpersonal and communication skills, with the ability to build productive relationships across engineering teams, program leadership, and customer organizations
• A proactive, accountable approach to identifying opportunities, advancing innovative capabilities, and delivering high-quality results
• The ability to work on-site at major Lockheed Martin facilities

US citizenship is required for this role
#LMLAIC

Basic Qualifications

• Bachelor’s degree in engineering, computer science, applied mathematics, physics, or a related technical discipline
• Experience with radar, communications, electronic warfare, sonar, or comparable sensing systems
• Experience developing, integrating, or deploying machine-learning or deep-learning capabilities using frameworks such as PyTorch, TensorFlow, JAX, Keras, or equivalent tools
• Experience leading technical teams, workstreams, or projects supporting the development, integration, test, or transition of mission capabilities
• Experience developing technical roadmaps, supporting proposals or white papers, and communicating technical approaches, plans, and results to program leadership, stakeholders, or customers

Desired Skills

• Advanced degree in engineering, computer science, applied mathematics, physics, or a related technical discipline
• Experience providing functional leadership, including staffing plans, workload management, mentoring, performance development, or technical assignment coordination
• Experience applying artificial intelligence, machine learning, or deep learning to sensor-level signal-processing or sensing applications, including radar, communications, electronic warfare, sonar, audio, biomedical sensing, or related domains
• Experience with RF, digital signal processing, and analog signal-processing fundamentals
• Experience integrating AI/ML capabilities into mature, complex, mission-critical software systems
• Experience with multiple sensing modalities, including passive and active RF, EO/IR, Synthetic Aperture Radar (SAR), or novel sensing techniques
• Experience with model validation, reproducible experimentation, data and model versioning, automated test, and ML lifecycle practices
• Experience preparing and presenting technical briefings for government customers
• Familiarity with software-defined radios or RF hardware
• Experience with C++, Rust, or other compiled languages
• Active Secret clearance with the ability to obtain a Top Secret clearance

Pay Information

Full-Time Salary Range: $166900.00 - $309900.00

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.

Skills Required

  • Bachelor’s degree in engineering, computer science, applied mathematics, physics, or a related technical discipline
  • Experience with radar, communications, electronic warfare, sonar, or comparable sensing systems
  • Experience developing, integrating, or deploying machine-learning or deep-learning capabilities
  • Experience with frameworks such as PyTorch, TensorFlow, JAX, Keras, or equivalent tools
  • Experience leading technical teams, workstreams, or projects supporting mission capabilities
  • Experience developing technical roadmaps and supporting proposals or white papers
  • Ability to communicate technical approaches, plans, and results to leadership, stakeholders, or customers
  • U.S. citizenship
  • Ability to work on-site at major Lockheed Martin facilities
  • Advanced degree in engineering, computer science, applied mathematics, physics, or a related technical discipline
  • Functional leadership experience, including staffing plans, workload management, mentoring, performance development, or technical assignment coordination
  • Experience applying AI, machine learning, or deep learning to sensor-level signal-processing applications
  • Experience with RF, digital signal processing, and analog signal-processing fundamentals
  • Experience integrating AI/ML capabilities into mature, complex, mission-critical software systems
  • Experience with multiple sensing modalities, including passive and active RF, EO/IR, SAR, or novel sensing techniques
  • Experience with model validation, reproducible experimentation, data and model versioning, automated testing, and ML lifecycle practices
  • Experience preparing and presenting technical briefings for government customers
  • Familiarity with software-defined radios or RF hardware
  • Experience with C++, Rust, or other compiled languages
  • Active Secret clearance with the ability to obtain a Top Secret clearance

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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