A/AI Machine Learning Engineering Mgr - L5

Posted 14 Hours Ago
Be an Early Applicant
9 Locations
Hybrid
148K-276K Annually
Mid level
Aerospace • Security • Cybersecurity • Industrial
The Role
Leads the Applied AI Mission Integration team and STAR.Data product, overseeing product development, deployment, mission-system integration, and trusted AI solutions across Lockheed Martin business areas and external customers. The role manages high-performing technical teams, coordinates technology transitions, cultivates talent, and advances data-sharing capabilities for contested and bandwidth-constrained environments.
Summary Generated by Built In
Standard Job Description

The Lockheed Martin Chief Digital and AI Office (CDAO) is seeking a leader for the Applied AI Mission Integration team, leading STAR.Data.  STAR.Data is a solution to DoW’s data distribution and management challenges, especially when operating in contested and bandwidth challenged environmentsand; it is also part of the STAR.OS ecosystem of capabilities. The STAR.Data team works in agile and faced paced environment, across all LM Business Areas and major corporate initiatives.  The selected candidate will oversee deploying STAR.Data as a point solution that address specific, high impact use cases, as well as a fully integrated software stack that enables seamless data and function sharing across domains.

Key responsibilities include:
• Leadership of the STAR.Data product and team
• Development and Maturation of STAR.Data product lines for deployment into mission applications
• Close coordination with LM Business Areas and external customers to integrate trusted AI solutions to meet mission requirements, with a focus on proliferation of STAR.Data
• Cultivating a talent pipeline in coordination with the LM Business Areas to accelerate technology transition

Basic Qualifications

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline  
• Experience building and deploying software for defense mission systems; experience with database solutions  
• Demonstrated functional and technical leadership experience in directing high-performing projects
• Ability to effectively communicate technical concepts to both technical and non-technical stakeholders, with a strong focus on collaboration and teamwork.
• Experience with one of the following: C++, Java, GO, Rust and other compiled languages  
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]

Desired Skills

• Master’s Degree in Engineering, Computer Science, or other related discipline  
• Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows  
• Knowledge of machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, etc.)  
• Experience developing microservices and microservice architectures  
• Experience with real-time embedded software engineering  
• Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)  
• Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) 
• Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)

Pay Information

Full-Time Salary Range: $148300.00 - $275500.00

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, or a related discipline
  • Experience building and deploying software for defense mission systems
  • Experience with database solutions
  • Functional and technical leadership experience directing high-performing projects
  • Ability to communicate technical concepts to technical and non-technical stakeholders
  • Experience with C++, Java, Go, Rust, or another compiled language
  • Experience with DevOps tools including Docker, Git, continuous integration, and continuous deployment
  • Master’s degree in Engineering, Computer Science, or a related discipline
  • Experience with Kubernetes, Helm, Istio, Linkerd, or modern GitOps workflows
  • Knowledge of machine learning frameworks such as PyTorch, TensorFlow, MXNet, or Caffe
  • Experience developing microservices and microservice architectures
  • Experience with real-time embedded software engineering
  • Experience with CPU and GPU hardware-accelerated computing, including CUDA, Intel oneAPI, or SYCL
  • Experience with model deployment stacks such as NVIDIA TensorRT, Triton Inference Server, or ONNX Runtime
  • Experience deploying AI-enabled systems in cloud and edge-device environments

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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