About this opportunity
Lockheed Martin lists this A/AI Machine Learning Engineering Mgr - L5 opportunity in fort worth, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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: $ - $
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.
#J-18808-Ljbffr
Worksite address
fort worth, TX, 76102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.