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Apptronik

Develops AI-powered humanoid robots for manufacturing

Senior Staff Test Engineer - Reliability

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Experience leading reliability programs for complex electromechanical products, including allocating top-level mean time between failures to subsystem and component targets and planning the sample size, test duration, and confidence level needed to demonstrate them.
  • Hands-on experience designing and running reliability testing, including life, accelerated, HALT/HASS, thermal, and environmental testing, and interpreting results with statistical methods such as Weibull analysis and reliability growth models.
  • Demonstrated ability to lead root-cause investigations across mechanical, electrical, and firmware domains and drive corrective actions to closure, including running a failure reporting system (FRACAS).
  • Experience technically leading and mentoring other engineers, including directing their test plans and advising on method and rigor, and communicating reliability risks and tradeoffs to leadership.
  • A Bachelor of Science in Engineering or a related field and 15 years of relevant experience, or a Master of Science and 13 years, or a PhD and 12 years.

Responsibilities

  • Define product reliability targets and roadmap, break top-level mean time between failures down into subsystem and component targets, and influence design through design reviews, derating guidance, and component and supplier qualification.
  • Lead a team of engineers on reliability testing, advise on test method and rigor, determine the sample size, test duration, and confidence level needed to demonstrate top-level mean time between failures, and target testing at the highest-risk components and subsystems, including life, stress, HALT/HASS, thermal, and environmental testing.
  • Lead root-cause investigations of failures from testing, manufacturing, and the field; coach engineers through the analysis; and run a closed-loop failure reporting system that feeds field and returns data back into design.
  • Guide the team in building life and failure-rate models, including Weibull models, failure mode and effects analysis inputs, fault trees, and reliability block diagrams; roll component test results up to system-level mean time between failures estimates with confidence bounds; and track reliability growth over time against the target.
  • Mentor and grow engineers, partner with design, manufacturing, and quality teams, and present reliability risks, test investment tradeoffs, and progress toward mean time between failures targets to leadership.

About the Company

Apptronik

Develops AI-powered humanoid robots for manufacturing

Apptronik builds Apollo humanoid robots powered by AI to work with people in manufacturing, logistics, and planned expansion to retail, healthcare, and home. Apollo robots perform physical tasks such as transporting components, sorting, and kitting, working alongside human workers. They differentiate themselves through a human-centered approach linked to the UT Austin robotics lineage and NASA’s Valkyrie, plus partnerships with Mercedes-Benz, GXO Logistics, Jabil, and Google DeepMind Gemini Robotics, with strong funding to scale production and training. Their goal is to scale Apollo deployments to enable safer, more efficient collaboration between humans and robots across multiple sectors.

Company size
501-1,000
Company stage
Private
Total funding
$949.8M
Headquarters
Austin, TX
Founded
2015

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