Inductive Automation & System QA Engineer

Location: On-site in Cupertino, Monday–Friday.

Role : Inductive Automation & System QA Engineer

Objective

Seeking an Inductive Automation & System QA Engineer to design, build, and bring up automated test stations for wireless charging systems. This role requires a hybrid background in software automation and mechanical/CAD fixture design.

Key Responsibilities

Mechanical Bring-Up: Design in 3D CAD, prototype (3D printing/machining), and assemble custom test fixtures, nest plates, and alignment jigs.

Software Automation: Architect and maintain Python-based test frameworks controlling lab instrumentation (programmable power supplies, electronic loads, DAQs, relays).

Bench Integration: Deploy end-to-end test benches combining physical actuators/stages with software harnesses for reliable, unattended runs.

Validation & Execution: Run automated charge stability, regression, and protocol testing across inductive charging setups (Qi, Qi2, magnetic charging).

Issue Characterization: Root-cause electromechanical, firmware, and software defects; document findings and drive bugs to resolution with cross-functional teams.

Skills & Qualifications

Must-Haves

Experience: BS in ME, Mechatronics, EE, CS, or equivalent with 3+ years testing complex electromechanical/embedded systems.

Mechanical & CAD:

Proficiency in 3D CAD (NX, SolidWorks, or similar) for fixture and jig design.

Hands-on rapid prototyping (3D printing, light fabrication) and actuator/sensor integration.

Software Development:

Strong Python skills with experience building modular test frameworks from scratch.

Hands-on instrument control (SCPI, VISA, Serial, USB) for lab hardware.

System QA:

Solid defect isolation across hardware, firmware, and host software layers.

Proven ability to write test plans, manage regression runs, and communicate issues clearly in English.

Preferred

Experience with inductive/wireless charging standards (Qi, Qi2) and USB-PD.

Experience with SQL databases and automated test telemetry/reporting dashboards.

Familiarity with Git and hardware-in-the-loop (HIL) automation pipelines.

Success Criteria / Definition of Done

Automation Bring-Up: Fully functional, calibrated test stations and durable CAD fixtures delivered on schedule.

Reliability: Robust, unattended overnight test execution with automated recovery and error handling.

Defect Reporting: Clear, actionable bug reports with synchronized electrical, mechanical, and system logs.

Execution & Velocity: Test plans published, results reported promptly, and technical risks proactively surfaced to EPMs.