QA Engineer – Machine Learning (Lead / Senior)


    As a lead QA engineer, you will establish, implement and evolve the formal QA process to ensure high-quality the inhouse designed and developed driver monitoring and assistance technology. You will

  • Design and develop the testing infrastructure, i.e., tools, frame works and reporting mechanisms.
  • Review design documents and collaborate with developers to come up with detailed test plans.
  • Test software to be deployed across IoT devices and AWS/Azure environments.
  • Test data platforms as well as the machine learning models built on the platform.
  • Test driver monitoring and driver assistance algorithms; and report KPIs.
  • Conduct various types of testing (manual tests, unit tests, functional tests, integration tests).


  • B.E / B. Tech, M.E / M. Tech with at least 6 years of SW QA experience.
  • Detail oriented, analytical, and creative thinker with passion for quality.
  • Excellent programming skills – Python (required) and C++, Shell Scripting (desired).
  • Experience with build and continuous integration systems.
  • Experience executing and contributing to automation infrastructure.
  • Experience with databases (SQL/NoSQL) and AWS environment.
  • Good Interpersonal communication skills.
  • Flexible and can-do approach. Ability to adjust to changing priorities.

QA Engineer – Machine Learning (Lead / Senior)

5+ Years

We are committed to an inclusive and diverse team. Netradyne is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company’s needs, we will contact you directly.

Netradyne is an equal opportunity employer.

About you

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