Video & Camera Systems Tester - Milpitas, CA

Overview

On Site
$40 - $50
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Video
Camera Systems
video tuning
Python
Bash
Pytest
Robot Framework
Android
iOS
machine vision
computer vision
image signal

Job Details

Job Title: QA Automation Engineer (Video & Camera Systems)

Location: Milpitas, CA (Onsite )

Type: C2C / Contract (6 Months or as applicable)

Experience Level: Mid-Level

Rate:$45/HR on W2 $50/HR on C2C

Job Description:

We are seeking a QA Automation Engineer with a strong background in automation scripting (preferably Python), testing workflows, and hands-on experience with video tuning and camera systems. This role will be key in ensuring the quality and performance of cutting-edge imaging and video capture technologies across various platforms.

Key Responsibilities:

  • Design, develop, and maintain automated test scripts using Python or other scripting languages
  • Execute comprehensive functional, regression, and performance tests for video and camera systems
  • Work closely with development and hardware teams to verify and validate on-camera functionality and video tuning parameters
  • Debug and analyze test failures, logs, and bugs across hardware and software layers
  • Contribute to test framework enhancements and integrate tests into CI/CD pipelines
  • Generate detailed test reports, documentation, and ensure traceability of requirements

Required Skills:

  • 3+ years of experience in QA Automation / SDET roles
  • Strong scripting skills in Python, Bash, or similar languages
  • Experience with automated testing frameworks (e.g., Pytest, Robot Framework, or similar)
  • Solid understanding of video processing, image quality tuning, and camera system validation
  • Familiarity with embedded systems or mobile platforms (Android, iOS, or SoC-based systems)
  • Ability to read and analyze logs from camera/video systems for quality and performance metrics
  • Experience with on-camera testing environments is a strong plus

Preferred Qualifications:

  • Exposure to machine vision, computer vision, or image signal processing pipelines
  • Experience working with video codecs, resolution scaling, latency, and tuning tools
  • Prior work with automotive cameras, smartphones, or security/video devices

Soft Skills:

  • Strong problem-solving and analytical thinking
  • Effective communication and collaboration with cross-functional teams
  • Detail-oriented and passionate about quality
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