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Electrical Reliability Intern (Summer 2027)

Astranis

Skills

Required

  • hardware development
  • test hardware
  • hands-on design
  • electronics systems
  • agentic AI systems
  • power supply
  • oscilloscope
  • multimeter
  • Python

Preferred

  • SPICE-based simulators
  • LTSpice
  • PSPICE
  • ADS
  • analyze flight hardware

Join Astranis, a pioneering company in the satellite industry, as an Electrical Reliability Intern for the summer of 2027. This twelve-week internship offers a unique opportunity to work on challenging projects and make a meaningful impact. As an intern, you will perform reliability analyses on satellite systems, analyze flight hardware, support DFMEA efforts, and write code to evaluate performance and automate testing of satellite hardware. Enjoy a range of benefits, including equity in the company, comprehensive medical, dental, and vision insurance, unlimited vacation days, and more.

Responsibilities

  • Perform reliability analyses on satellite systems and work with the reliability design team to analyze flight hardware.
  • Support DFMEA efforts and write code to help evaluate performance and automate testing of satellite hardware.
  • Gain hands-on experience in hardware development, including designing, building, and testing hardware from scratch.

Requirements

  • A passion for hardware development, including working in a fast-paced environment and hands-on design and development
  • Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria
  • Currently pursuing a B.S. in electrical or computer engineering (or equivalent technical degree)
  • Interest in learning about, designing, and working with electronics systems
  • Demonstrated ability to personally design, build, and test hardware from scratch
  • US Citizenship or Green Card
  • U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required. (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))
  • Experience with agentic AI systems
  • Familiarity with standard EE lab bench (power supply, oscilloscope, multimeter, etc)
  • Experience with Python

Preferred

  • Experience with SPICE-based simulators (LTSpice, PSPICE, ADS, etc)

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