Senior AI/ML Engineer — Autonomy for Mission Systems

Lockheed Martin Corporation

Springfield (VA)

On-site

USD 110,000 - 205,000

Full time

1 hour ago
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Job summary

Lockheed Martin Corporation in the United States is seeking an engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems, spanning requirements generation through testing and research in select programs.

You will implement perception, planning, and controls algorithms, translate requirements into code, review test results, and collaborate across teams in a fast-paced defense environment.

Qualifications

  • Proficiency in Python, Java, C++, or C#.
  • Experience with PyTorch or TensorFlow.
  • Experience with Agile methodologies (Scrum, Kanban).
  • Experience with Elasticsearch or OpenSearch.
  • Active TS/SCI security clearance to start with ability to obtain poly.
  • Excellent written and verbal communication skills.
  • Ability to work in a collaborative, team-based environment.

Responsibilities

  • Develop and deploy autonomy and AI algorithms for mission systems.
  • Support the lifecycle from requirements through development, integration, and testing.
  • Translate requirements to development code for LM products and platforms.
  • Review test outcomes and troubleshoot issues.
  • Develop human-machine interface scenarios and decompose missions into tasks.

Skills

Python
Java
C++/C#
C++
PyTorch
TensorFlow
Agile methodologies
Elasticsearch/OpenSearch
TS/SCI clearance
Communication
Team collaboration
Machine learning in mission software

Education

Advanced degree in a STEM discipline

Tools

PyTorch
TensorFlow

Job description

Lockheed Martin Corporation in the United States is seeking an engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems, spanning requirements generation through testing and research in select programs.

You will implement perception, planning, and controls algorithms, translate requirements into code, review test results, and collaborate across teams in a fast-paced defense environment.

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