Software Manager in Test - Autonomous Vehicles
NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need hardworking, hard-working and creative people to help us seek more of these challenging opportunities in Autonomous Driving. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
We're looking for a very strong technical Test Developer; someone with the technical ability to deeply understand architectures and strong scripting experience to automate and innovate testing scenarios, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges unrivaled to the automotive industry and our automotive products. As part of the automotive software testing organization, you'll get along with both software and hardware engineering teams covering multiple subject areas to provide quality product.
What you’ll be doing:
As a member of Autonomous Vehicle Software Test team, you will work on Autonomous Vehicle Software i.e. NVIDIA DRIVE SW and build a critical metric to measure and evaluate the product quality and performance.
You will collaborate with a team with dynamic strengths of engineers encompassing the entire NVIDIA DRIVE platform. As such, you should have a track record of working well across organizations.
Develop and maintain the KPI and review with customers on their performance on regular basis.
Automate the KPI generation and robust evaluation to represent on the dashboard.
Root cause/solve the problems and drive them closure.
Work experience in Linux/QNX ADAS environment.
Strong leadership & interpersonal skills are required.
What we need to see:
A master or bachelor’s degree in computer science, electrical engineering, computer engineering or have a technical degree (or equivalent experience)
5+ years of Data analysis and representation.
10+ overall years of ADAS proven experience.
5+ years of Management experience.
Experience in Automation or Tools development. Big Picture thinking!
Self-motivated to learn new thing & embrace technology faster
Ways to stand out from the crowd:
Experience in ADAS, Data analysis and KPI generation.
Familiarity with industrial and scientific way of their software architecture.
Strong in scripting/tools development.
Strong reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.