Pioneering AI Satellite Electrical Test Engineer

SpaceX; Texas; On-site; USD 90,000 - 130,000; Full time

Job summary

SpaceX is seeking an Electrical Test Engineer for AI Satellites. You will design automated tests for space-grade hardware, select or design PCBA test solutions, and develop Python-based automation to control tests and data systems.

You will collaborate with design, manufacturing, and test labs to improve reliability and yield, and address complex problems with simple, robust solutions in a high-stakes environment.

Qualifications

• Bachelor's degree in electrical engineering or other engineering discipline.
• 1+ years of experience with hardware development or electronics test engineering.

Responsibilities

• Design and develop automated test solutions for complex, space grade hardware
• Select commercial-off-the-shelf hardware and/or design custom PCBAs to measure signals, apply flight-like loads, and power units under test
• Write automation software in Python to interact with units under test, test equipment, instrumentation, field data, and production documentation systems
• Work closely with and consistently provide feedback to responsible design engineers, manufacturing engineers, and test lab teams to drive design or infrastructure improvements to increase product reliability and yield
• Challenge assumptions and work to find simple solutions to complex problems

Skills

Python

C/C++

Automated testing

Electrical debugging

Cross-functional work

Education

Bachelor's degree in electrical engineering

Master's degree in electrical engineering

Tools

Oscilloscope

Multimeter

Electronic load

Spectrum analyzer

Network analyzer

Vector signal generator

Source measurement unit

Job description

SpaceX is seeking an Electrical Test Engineer for AI Satellites. You will design automated tests for space-grade hardware, select or design PCBA test solutions, and develop Python-based automation to control tests and data systems.

You will collaborate with design, manufacturing, and test labs to improve reliability and yield, and address complex problems with simple, robust solutions in a high-stakes environment.