About The Position

As a Software Engineer – Automation & Infrastructure, you will design, develop, and maintain scalable automation frameworks and robotic systems that enable high-quality testing of computer vision (CV) algorithms and next-generation products. You will work at the intersection of software, robotics, and test engineering to build reliable infrastructure that accelerates product development. In this role, your day-to-day work will blend coding, system integration, cross-team collaboration, and hands-on problem-solving in a dynamic lab setting—directly impacting the quality and performance of cutting-edge products.

Requirements

  • BS and a minimum of 3 years relevant industry experience
  • 3+ years of experience in software development and testing
  • Proficiency in Python
  • Experience building scalable systems capable of managing complex device or hardware lifecycle workflows
  • Solid understanding of the software development lifecycle and industrial automation processes
  • Strong understanding of continuous integration (CI) pipelines and automated validation processes for performance-based testing
  • Knowledge of computer vision algorithms, such as calibration, SLAM, camera
  • Technical expertise in robotic process automation, with a strong understanding of automation system design and deployment

Nice To Haves

  • 5+ years of experience with robotic process automation
  • Familiarity with robot kinematics, dynamics, digital control, and signal processing
  • Strong advocate for quality with a deep understanding of SQA methodologies and practices
  • Proven ability to thrive in a cross-functional environment and work on multiple, related projects
  • Experience designing and maintaining automated test frameworks for CV algorithm validation
  • Excellent communication skills

Responsibilities

  • design, develop, and maintain scalable automation frameworks and robotic systems
  • enable high-quality testing of computer vision (CV) algorithms and next-generation products
  • build reliable infrastructure that accelerates product development
  • coding
  • system integration
  • cross-team collaboration
  • hands-on problem-solving in a dynamic lab setting
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