Jobs · Quality Assurance · Colorado

Hardware Test and Automation Engineer

Kratos Defense and Security Solutions · Colorado Springs, CO · 4 wk ago
On-siteQuality Assurance$120k/yrFull-time

Responsibilities

  • Interpret 5G NTN standards and customer-specific requirements and translate them into detailed, traceable test plans.
  • Specify the RF test equipment needed to support those plans.
  • Develop the software automation that drives that equipment against the device under test.
  • Execute tests, capture data, and validate results against both customer requirements and 5G standards.
  • Document and report results, failures, and risks to engineering and program stakeholders.
  • Maintain and improve the test suite as requirements evolve.
  • Investigate and characterize failures.
  • Drive continuous improvement of test processes, tooling, and coverage.

Requirements

  • 7+ years of Test Engineering experience
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field
  • Ability to interpret and breakdown hardware specifications into a test plan
  • Familiarity with best practices for automation of Keysight and/or Rhode & Schwarz RF test equipment
  • Proficiency with SCPI command sets and Python 3 for test automation, scripting and equipment control
  • Strong hands-on experience with RF test equipment, including spectrum analyzers, signal generators, network analyzers and related lab instrumentation
  • Strong technical documentation skills, including test plans, test procedures, test reports, and issue tracking
  • Strong problem-solving and debugging skills in lab environments

Skills

  • Experience performing cellular hardware testing (LTE or 5G technologies)
  • Rhode & Swarz CMX500 experience
  • Familiarity with 3GPP specifications and cellular conformance or performance test methodologies
  • Experience with custom hardware platforms that combine RF, digital, and embedded software components
  • Experience with lab bring-up, calibration methods, and measurement uncertainty considerations

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