Arduino-Focused Reliability Test Engineer (Part-Time)

Gradient; San Francisco (CA); On-site; USD 28,000 - 33,000; Part time

Job summary

Gradient is seeking a Reliability Test Engineer to join our part-time, temporary-to-permanent team in San Francisco. You will design and execute reliability tests, report results, and help ensure product robustness for our energy-efficient, climate-friendly hardware.

The role focuses on Arduino-based test automation, firmware interactions, data collection, and close collaboration with the Reliability Engineer to drive root-cause analysis and corrective actions in a fast-paced startup environment.

Qualifications

• Degree (or equivalent) in Electrical, Electronics, or Embedded software Engineering.
• Hands-on experience with Arduino, hardware controls, firmware and lab testing.

Responsibilities

• Plan, run, and report reliability verification tests against defined acceptance criteria, then analyze the data and flag out-of-spec results.
• Build and program Arduino-based automated test sequences, including sensor and data acquisition integration.
• Tear down and inspect failed units, support root cause investigations, and log failure modes and corrective actions.
• Follow lab safety procedures and handle equipment and units responsibly.
• Keep clear, timely records of tests, code, CAD, and findings.
• Communicate progress and blockers in regular check-ins with the Reliability Engineer.

Skills

Arduino

Hardware controls

Firmware

Lab testing

Education

Degree in Electrical/Electronics/Embedded software Engineering

Tools

SolidWorks

Job description

Gradient is seeking a Reliability Test Engineer to join our part-time, temporary-to-permanent team in San Francisco. You will design and execute reliability tests, report results, and help ensure product robustness for our energy-efficient, climate-friendly hardware.

The role focuses on Arduino-based test automation, firmware interactions, data collection, and close collaboration with the Reliability Engineer to drive root-cause analysis and corrective actions in a fast-paced startup environment.