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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 engineer; someone with the technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, 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 SIT 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:
Work on Autonomous Vehicle Software i.e. NVIDIA DRIVE SW, and Triage filed issues with accurate analysis and debugging steps and showcase the presentation skills.
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 NVIDIA DRIVE NDAS product KPI based on the triage analysis.
Build the end to end pipeline to evaluate the KPI and deploy them in the field.
Automate the KPI generation and robust evaluation to represent on the dashboard.
Root cause/tackle the problems and drive them closure.
Working/communicate daily analysis to the Management/Engineers to resolve the issues faster.
Strong leadership & interpersonal skills are required.
Hands-on experience the vehicle drive and establish candid analysis to improve the product
Work experience in Linux/QNX ADAS environment.
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)
8+ years experience in relevant field.
8+ overall years of ADAS proven 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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.Â
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Learn more about this Employer on their Career Site
