Full-Time

QA Test Automation Engineer

Confirmed live in the last 24 hours

Cyngyn

Cyngyn

51-200 employees

Develops autonomous technology for industrial fleets

Data & Analytics
Hardware
Industrial & Manufacturing
AI & Machine Learning

Mid

Menlo Park, CA, USA

Required Skills
Python
Quality Assurance (QA)
Requirements
  • Bachelor's Degree in Electrical Engineering, Computer Science, or Computer Engineering
  • 3-5 years of professional experience in QA testing, with a focus on automation
  • Proven experience in embedded systems testing
  • Strong knowledge of Python development
  • Experience with cloud technology testing
  • Familiarity with robot testing methodologies and tools
  • Solid understanding of system testing and debugging skills
  • Strong analytical, problem-solving, and decision-making capabilities
  • Excellent verbal and written communication skills
Responsibilities
  • Design, develop, and execute automation scripts using open-source tools
  • Identify, record, and thoroughly document bugs in our robotic systems
  • Collaborate closely with the R&D team to understand product changes and ensure test coverage
  • Evaluate, recommend, and implement automated test tools and frameworks
  • Develop and execute test cases for embedded systems and robot functionality
  • Review system requirements and identify testing strategies that ensure software quality
  • Engage with cloud technologies, ensuring seamless integration and robust performance
  • Conduct field tests and report findings, ensuring our robotics solutions work in real-world scenarios
  • Debug system issues, providing clear and actionable feedback to the development team

Cyngn offers DriveMod, an AI-powered autonomous technology for industrial fleets, enabling vehicles to transport goods, navigate sites, and execute missions autonomously, with the ability to switch between manual and autonomous mode. The technology utilizes Cyngn Insight, a suite of analytics tools and dashboards, to provide operational visibility and suggestions for optimization.

Company Stage

IPO

Total Funding

$171.6M

Headquarters

Menlo Park, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

9%

2 year growth

59%