True Anomaly

True Anomaly

Mechanical Test Engineer

Long Beach, CA

No sponsorshipDetected 1 day ago
PythonMATLABData AnalysisFEAMIL-STDSystems EngineeringMechanical DesignAerospace EngineeringLabVIEWLoad TestingTest AutomationLeadershipCommunicationActuators

About the role

  • Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
  • True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

Responsibilities

  • Define and lead test strategies for mechanical system programs, including requirements verification, procedure development, and execution oversight.
  • Analyze complex mechanical system test data, resolve anomalies, and lead root cause investigations and corrective actions.
  • Design, build, commission, and operate mechanical test fixtures and ground support equipment in support of testing operations.

Requirements

  • Bachelor's degree in mechanical, aerospace engineering, or related technical discipline.
  • Years of relevant experience in mechanical systems test engineering for aerospace, defense, or high-reliability systems in line with engineering level.
  • Knowledge of mechanical system test methodologies including acceptance, functional, and performance testing.
  • Experience performing mechanical system test campaigns and coordinating multidisciplinary teams.
  • U.S. Citizenship required due to government contracts.
  • Strong background in data analysis, systems engineering, and failure analysis for mechanical hardware.
  • Excellent communication, leadership, and technical documentation skills.
  • Familiarity with CAD tools, finite element analysis, and mechanical design principles.

Skills

  • Master's or higher degree in mechanical or aerospace engineering.
  • Expertise with data acquisition, test automation, and scripting (LabVIEW, Python, MATLAB) for mechanical test environments.
  • Hands-on experience with mechanical components including structures, mechanisms, actuators, deployables, and mechanical assemblies.
  • Experience with test standards such as MIL-STD-810, NASA-STD-5018, or other aerospace mechanical test specifications.
  • Experience working in classified or secure test environments.
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Company info

  • True Anomaly delivers decisive capabilities for space superiority.
  • We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.
  • We are seeking highly motivated Mechanical Test Engineers to support the design, planning, and execution of test campaigns for spacecraft mechanical systems and hardware.
  • You will work closely with mechanical design engineers, systems engineers, and production teams to ensure mechanical hardware meets performance, environmental, and mission-critical requirements.
  • In this role, you will develop test plans, execute mechanical system tests, design and build test fixtures and ground support equipment, collect and analyze data, disposition anomalies, and verify that hardware meets all specifications.
  • The position offers an excellent opportunity to contribute to cutting-edge spacecraft mechanical technologies in a fast-paced, mission-driven environment.
  • Interface with program leadership, customers, and regulatory bodies during design reviews and formal mechanical test events.

Visa & Work Authorization

  • Citizenship required due to government contracts

This listing is sourced directly from True Anomaly's careers page and normalized into a canonical job model.