Autonomy Test & Evaluation Engineer — Flight & Simulation

SDFM

Charlotte (NC)

On-site

USD 90,000 - 130,000

Full time

8 days ago

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Job summary

Powerus is seeking an Autonomy Test and Evaluation Engineer in the United States to define performance metrics, design simulation and flight test campaigns, and report measured autonomy performance by release. The role supports test events and provides data-driven analysis to engineers and customers.

Responsibilities include building regression test scenarios, reporting trends, and documenting test plans. Candidates should have a relevant engineering degree, Python data-analysis skills, and U.S.

Qualifications

  • Bachelor's degree in engineering or computer science or equivalent practical experience.
  • Experience testing robotic, autonomous, or flight systems.
  • Proficiency in Python for data analysis and statistics.
  • U.S. Person status due to ITAR/EAR data access requirements.

Responsibilities

  • Define performance metrics and acceptance criteria for autonomy functions.
  • Design simulation and flight test campaigns to measure performance.
  • Build scenario libraries for simulation-based regression testing.
  • Analyze test results and report performance trends by release.
  • Identify failure cases and provide them to autonomy engineers.
  • Support customer test events and demonstrations with data and analysis.
  • Document test plans, procedures, and reports.

Skills

Python for data analysis
Statistics and experimental design
Experience testing robotic/autonomous/
U.S. Person status

Education

Bachelor's degree in aerospace, mechanical, electrical, or computer engineering, or computer science

Tools

Gazebo
AirSim

Job description

Powerus is seeking an Autonomy Test and Evaluation Engineer in the United States to define performance metrics, design simulation and flight test campaigns, and report measured autonomy performance by release. The role supports test events and provides data-driven analysis to engineers and customers.

Responsibilities include building regression test scenarios, reporting trends, and documenting test plans. Candidates should have a relevant engineering degree, Python data-analysis skills, and U.S.

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