Overview

Join our hardware test automation engineering team to develop advanced test automation solutions for hardware verification and validation workflows. You'll architect robust Python-based frameworks and device drivers, integrate automated test systems with CI/CD and data pipelines, and help scale hardware-in-the-loop processes—impacting product quality and validation efficiency across diverse platforms and devices.

Responsibilities

• Collaborate with validation engineers to automate test cases and data analysis tasks for Verification and Validation activities.
• Develop and extend Python frameworks and libraries for hardware device control, orchestrating tests, and automating data analysis.
• Integrate automated tests into both existing and new CI/CD infrastructures.
• Package, deploy, and support test software for Linux, Windows, and macOS-based laboratory and production hosts.
• Write and maintain drivers for a wide range of devices and instruments (including ADB, serial/UART, SCPI/VISA, DAQs).
• Build connections between test stations, DUTs (Devices Under Test), and a shared device farm to support hardware-in-the-loop testing.
• Support hardware bring-up, test equipment setup, and interface definition with external fixture vendors.
• Architect and maintain pipelines to transfer large-scale test and image data from local stations to cloud storage and queryable databases.
• Create dashboards and monitoring tools for product test metrics, station health, and data pipeline status.
• Write well-tested, reliable code and perform peer code reviews.
• Develop and integrate AI-based tooling (agents, skills, etc.) to optimize engineering and validation workflows.
• Occasional travel (up to 5-10%) to contract manufacturers in China.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical industry experience.
• 5+ years of professional software development experience, particularly in hardware or system test automation domains.
• Expert-level proficiency in Python, using industry-standard practices for robust, maintainable code.
• Proven experience onboarding into mature codebases, managing build systems, and participating in code reviews within collaborative teams.
• Strong background in lab instrument and equipment automation (e.g., writing communication scripts for ADB, UART, SCPI/VISA, DAQs).
• Hands-on experience analyzing and visualizing test data using libraries such as matplotlib and pandas or querying directly using SQL.
• Exceptional problem-solving and debugging skills.
• Professional proficiency in spoken and written English for effective technical collaboration.

Preferred Qualifications

• Prior experience supporting verification and validation in consumer electronics.
• Hands-on development in large monorepos and build systems (e.g., Bazel).
• Experience automating Android device tests via ADB.
• Skilled in building reliable automated data pipelines and real-time dashboards.
• Track record designing scalable Python libraries or APIs (e.g., gRPC, protobuf).
• Familiarity with robotics automation (motion stages, robotic fixtures) or camera-integrated measurements.
• Ability to interpret schematics and system block diagrams.
• Experience deploying device farms and developing CI for hardware-in-the-loop validation.
• Proficiency with advanced AI code tools (e.g., Claude Code, OpenCode, Codex).
• Working professional proficiency in Mandarin for partnership with overseas manufacturing teams.