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Apptronik

Develops AI-powered humanoid robots for manufacturing

Senior Hardware Test Engineer - Components

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Hands-on experience validating electronic hardware, including PCBAs, wiring harnesses, sensors, or compute modules, using bench equipment such as oscilloscopes, power supplies, and data acquisition systems.
  • Experience with production test methods such as in-circuit test, flying probe, and functional test, including designing fixtures such as bed-of-nails fixtures and defining pass/fail criteria and handoff documentation.
  • Experience with HALT/HASS, including defining stress profiles and interpreting failure modes, and knowledge of harness field-failure drivers such as contact resistance, connector retention, and flex fatigue.
  • Strong debugging skills to root-cause failures to the board, connector, or component level using schematics, harness drawings, and datasheets.
  • Understanding of sensor physics, including IMU, encoder, force/torque, camera, and thermal modalities, sufficient to characterize accuracy, noise, drift, and environmental sensitivity.
  • A BS in Electrical Engineering, Mechanical Engineering, Robotics, or a related field plus six years of relevant experience, or an MS in a related field plus four years, or a PhD in a related field plus two years.
  • Ability to sit at a desk and work on a computer for prolonged periods, lift 15 pounds at times, read printed materials and a computer screen, and communicate by hearing and speech.

Responsibilities

  • Plan and execute test campaigns to validate PCBAs, wiring harnesses, sensors, and compute modules against specifications across electrical, thermal, and environmental conditions.
  • Design and run HALT to identify design margins and failure modes, develop HASS screens for production, and define harness tests for field-failure drivers such as continuity, insulation and contact resistance, connector retention, and flex and strain relief.
  • Characterize sensor accuracy, noise, drift, and environmental sensitivity using knowledge of sensor modality physics, and stress compute parameters including clocks, voltage rails, thermals, memory, and I/O load to find performance limits.
  • Build fixtures and test automation, diagnose failures down to board, connector, or component level, and provide actionable feedback to design.
  • Develop test methods with defined pass/fail criteria and operator documentation, then transfer them to the Manufacturing Test team to support incoming inspection and production testing.

Desired Qualifications

  • Experience stressing compute platforms, including clocks, voltage rails, thermals, memory, and I/O load, to find performance limits and failure modes.
  • Experience with robotics, humanoid, or other electromechanical systems, including actuator or motor-driven hardware.
  • Experience transitioning test methods from research and development into production or manufacturing environments, including new product introduction.
  • Test automation experience using Python, LabVIEW, or similar tools for data acquisition, analysis, and automated test sequencing.
  • Familiarity with design for test and design for manufacturing practices, including working with design engineers to add test points and improve testability.

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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