Why This Role Stands Out
As a Pixel Test Automation Engineer at Wise Skulls Corp., you'll leverage your Python, HIL, and computer vision expertise to build innovative test automation solutions, offering significant growth opportunities within a cutting-edge technology company. This hybrid role is perfect for experienced engineers who excel at problem-solving and driving impactful results in a collaborative environment. Apply today to contribute to groundbreaking projects and advance your career!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Mountain View, CA, United States
Posted
5 days ago
LinearRoboticsComputer VisionPythonpytestAndroid
Job Description
Title: Pixel Test Automation Engineer - Python, HIL & Computer Vision
Location: Mountain View, CA (Hybrid)
Duration: 6 months (possibility of extension)
JD:
Location: Mountain View, CA (Hybrid)
Duration: 6 months (possibility of extension)
JD:
Technical Skills Breakdown
Required Skills (Must Have)
Strong Python Proficiency: Ability to write clean, maintainable test actions, libraries, and infrastructure code.
Device UI Automation: Deep experience with UI Automator, Appium, or similar frameworks for simulating user interactions.
Hardware-in-the-Loop (HIL) & Robotics Automation: Experience controlling physical
hardware (e.g., robotic arms, linear gantries, motion controllers) via code to interact with physical systems.
Computer Vision (CV) & OCR Automation: Practical experience using camera feeds and Vision APIs/OCR to navigate sealed or non-instrumented UIs via coordinate-based
actions and visual anchor detection.
End-to-End Test Frameworks: Proficiency with multi-device or embedded testing frameworks (e.g., Mobly, PyTest).
Device UI Automation: Deep experience with UI Automator, Appium, or similar frameworks for simulating user interactions.
Hardware-in-the-Loop (HIL) & Robotics Automation: Experience controlling physical
hardware (e.g., robotic arms, linear gantries, motion controllers) via code to interact with physical systems.
Computer Vision (CV) & OCR Automation: Practical experience using camera feeds and Vision APIs/OCR to navigate sealed or non-instrumented UIs via coordinate-based
actions and visual anchor detection.
End-to-End Test Frameworks: Proficiency with multi-device or embedded testing frameworks (e.g., Mobly, PyTest).
Preferred Skills (Nice to Have)
Automotive/Wireless Connectivity: Understanding of Android Auto, Bluetooth protocols, or Projection technologies.
Algorithm & Pathing Logic: Familiarity with AI detectors for automating complex UI navigation flows.
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