Part-Time Systems Engineer, AI/ML & UAS

AeroVironment, Inc.; Maryland; Hybrid; USD 29,000 - 44,000; Part time

Benefits offered by this job

medical

dental vision

401K with company matching

9/80 work schedule

paid holiday shutdown

Job summary

AeroVironment, Inc. in Maryland seeks an Associate Systems Engineer for a part-time role. You will work with the Design Team to develop uncrewed systems, supporting design, development and integration of UAS and subsystems.

You will collaborate with senior engineers, contribute to Digital Engineering, AI-ML workflows, and learn DevOps practices while gaining hands-on experience with Docker and Git workflows.

Qualifications

• Must be a high school graduate.
• Must be a US Citizen.
• Currently enrolled or recently completed post-secondary program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Possess strong written and verbal communication skills.
• Strong background and interest in software development, embedded software development, software testing, data analysis.

Responsibilities

• Assist in designing and implementing Digital Engineering and Digital Thread solutions to connect lifecycle data across engineering domains.
• Support development of AI-ML automation models to optimize workflows and analyze datasets.
• Collaborate with senior engineers to build, clean, and preprocess data pipelines for training ML models.
• Learn foundational DevOps methodologies by participating in CI/CD maintenance.
• Provide basic technical support for automated environments and troubleshoot infrastructure issues.

Skills

Java

JavaScript

C++

Python

Git/GitHub

Docker

Data analysis

Education

Post-secondary program in CS/CE/EE or related field

Tools

GitHub

GitLab

Job description

AeroVironment, Inc. in Maryland seeks an Associate Systems Engineer for a part-time role. You will work with the Design Team to develop uncrewed systems, supporting design, development and integration of UAS and subsystems.

You will collaborate with senior engineers, contribute to Digital Engineering, AI-ML workflows, and learn DevOps practices while gaining hands-on experience with Docker and Git workflows.