Subsystem Test Engineer
Posted on 3/22/2024
Skyways

11-50 employees

New form of transportation to advance our civilization.
Company Overview
We are creating a new form of transportation to advance the future of our civilization. Our story starts with fully autonomous, unmanned aerial vehicles with vertical take-off and landing capability and used for cargo transportation.
Industrial & Manufacturing
AI & Machine Learning

Company Stage

Series A

Total Funding

$17.6M

Founded

2017

Headquarters

Austin, Texas

Growth & Insights
Headcount

6 month growth

20%

1 year growth

57%

2 year growth

215%
Locations
Austin, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
QA & Testing
Manual Testing
Performance Testing
Requirements
  • Bachelors degree or 3+ years relevant experience in Mechanical, Aerospace or Electrical engineering.
  • Basic proficiency with first principals of Mechanical and Electrical Engineering.
  • Experience with data acquisition and signal conditioning.
  • Experience with multimeters and osciloscopes
  • Experience with basic functions of MATLAB, Python, VBA or other engineering programming languages.
  • Highly independent worker with strong problem-solving skills.
  • Excited to work with your hands, wear many hats and learn new things.
  • Be an awesome and friendly individual.
Responsibilities
  • Own and drive multiple component and sub-assembly tests for the purpose of completing R+D, Qualification and Acceptance of various aircraft and GSE components.
  • Work with design engineers to define test requirements and goals.
  • Design and develop test methods and best practices.
  • Establish and maintain standardized tests and test reports.
  • Design and build test equipment (structures, fixtures, sensor selection, signal conditioning, data acquisition).
  • Procure COTS and custom test equipment.
  • Analyze flight data to drive ground test requirements, and vice verse, correlate ground test results with flight data. Set up and execute tests, gather data, complete initial data analysis, report results and make recommendations.
  • Establish data analysis best practices (data grooming, filtering, statistical analysis, graphs, etc).