Autonomy AI/ML Engineer for Mission Systems

Lockheed Martin Corporation; King of Prussia (PA); On-site; USD 75,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

Dental/Vision

401(k) match

Paid time off

Flexible work arrangements

Education assistance

Life Insurance

Job summary

Lockheed Martin Corporation seeks a highly skilled engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems. You will support the full technology development life cycle from requirements to testing, translating requirements into production code and integrating AI/ML into LM products.

Responsibilities include reviewing test results, debugging issues, and creating human-machine interfaces while collaborating with multidisciplinary teams.

Qualifications

• Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics).
• Knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
• Familiarity with modern software development tools and practices.
• US Citizenship required and ability to obtain government security clearance.

Responsibilities

• Develop, integrate, and deploy autonomy and AI algorithms for mission systems.
• Support the technology development life cycle from requirements generation through development, integration, and testing.
• Translate requirements into development code, integrating AI/ML into LM products and platforms.
• Review test outcomes, troubleshoot, and debug issues.
• Develop human-machine interface scenarios and break missions into tasks.

Skills

Python

Java

C++

C#

MATLAB

AI/ML

Computer Vision

Deep Learning

Image Processing

Team Collaboration

Communication Skills

Education

Bachelor's degree in STEM

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Job description

Lockheed Martin Corporation seeks a highly skilled engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems. You will support the full technology development life cycle from requirements to testing, translating requirements into production code and integrating AI/ML into LM products.

Responsibilities include reviewing test results, debugging issues, and creating human-machine interfaces while collaborating with multidisciplinary teams.