NeuReality is looking for an experienced and highly motivated automation team lead to join us and be part of NeuReality’s next-generation state-of-the-art AI inference server development. We design, develop, validate, and release inference server and programming SDK software products to make AI deployment easy and cost/power-effective.

Responsibilities:

The Automation Engineer lead is responsible for all aspects of validation and release automation:

• Leading automation activities required for releasing high-quality products to NeuReality's customers.
• Tight collaboration with architects and development teams
• Reviewing specifications and technical design documents to provide timely and meaningful feedback.
• Manage, design, and develop the automation infrastructure and frameworks at the component level and end-to-end.
• Help define end-to-end tests to validate complex inference servers at scale.
• Provide tools to allow developers to run tests on their own.
• Coaching engineers with automation test design and writing, procedures, and methodologies
• Defining metrics for quality evaluation
• Leading the design and development of new automatic testing approaches for various features and products developed by NeuReality
• Consistently reviewing, analyzing, and improving test automation infrastructure and reports
  
  

Requirements:

• BSc in Computer Engineering/Computer Science/Electrical Engineering
• 8+ years’ experience in leading automation and/or QA teams and processes
• Experience in automation/validation of complex SW systems, including backend and embedded SW.
• Formal and practical knowledge of automation and testing methodologies
• 6 years of hands-on experience in writing automation for software, with at least 3 years writing automation in Python
• 2 years of hands-on experience using and testing Linux systems.
  
  

Advantages:

• Good SW system view
• Prior experience as software/firmware engineer
• Strong understanding of hardware/software interactions, on-prem and cloud infrastructure.
• Experience with docker and Kubernetes.
• Experience with AI related product validation – great advantage