Radiation Effects Engineer - Hardware Testing (Winter 2027)

Astranis; San Francisco (CA); On-site; USD 74,000 - 101,000; Full time

Job summary

Astranis is seeking a Radiation Effects Associate Engineer for Winter 2027 to support modeling, analysis, and rigorous electrical testing of spacecraft hardware within the space radiation environment.

You will help characterize electrical component degradation, design test fixtures, and execute hardware testing across U.S. laboratories, directly impacting space vehicles and informing cross-disciplinary decisions.

Qualifications

• Four-year B.S. degree in Electrical Engineering, Computer Engineering, or related engineering field by start date.
• Hands-on hardware development and electrical testing in fast-paced environments.
• Experience with essential electronics lab equipment (oscilloscopes, multimeters, power supplies, source meter units).

Responsibilities

• Evaluate and electrically test fault-tolerant electrical systems in a radiation environment.
• Assist in creating electrical test plans and documenting test activities and results.
• Support radiation testing campaigns to up-screen components for TID and SEE; characterize electrical parameters before, during, and after exposure.
• Collaborate across teams to inform radiation considerations in design and testing decisions.
• Assist with breadboarding, automated test setup verification, and basic cable harness fabrication.

Skills

Hardware development

Electrical testing

Soldering

Problem solving

Education

Bachelor's degree in Electrical Engineering or related field

Tools

Altium Designer

Schematic capture

PCB layout

Job description

Astranis is seeking a Radiation Effects Associate Engineer for Winter 2027 to support modeling, analysis, and rigorous electrical testing of spacecraft hardware within the space radiation environment.

You will help characterize electrical component degradation, design test fixtures, and execute hardware testing across U.S. laboratories, directly impacting space vehicles and informing cross-disciplinary decisions.