Senior Staff Sdet

About Netradyne :

• Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles;

and our customers driveeverything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities / injuries.

As a Senior Staff SDET for automation, you will lead a team of manual / automation engineers, establish, implement, and evolve the formal QA process to ensure high-quality inhouse designed and developed driver monitoring and assistance technology. You will

Roles & Responsibilities

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 Netradyne devices and AWS environments.

Test data platforms as well as the machine learning models built on the platform.

and report KPIs.

Handling production queries and ensuring the high-level stability of applications in production

Strong ability to communicate highly technical results to a diverse audience.

Requirements

B.E / B. Tech, M.E / M. Tech with at least 10+ years of SW QA experience.

Detail-oriented, analytical, and creative thinker with a passion for quality.

Excellent programming skills – Python and, Shell Scripting.

Experience with any cloud services like AWS and CI / CD pipelines.

Experience with databases (SQL / NoSQL) and desirable to have knowledge in Docker and Kubernetes.

Experience executing and contributing to automation infrastructure. Capable of designing new automation frameworks for ML and AI applications.

Good to know data visualization tools.

Expertise in release management tools like GIT, Jenkins