Aartificial intelligence, AI Robotic systems, Autonomous vehicles, Data science techniques, Data Visualization, Effective communication skills, ETL frameworks, KPI, Machine learning techniques, Python Programming, SQL, Teamwork
The Automotive Vehicles Test Engineering team is searching for a skilled and innovative Data Engineer to assist us in accelerating NVIDIA's autonomous vehicle solutions. You will play a crucial role in developing and implementing comprehensive Key Performance Indicators (KPIs) and dashboards that will redefine the landscape of autonomous vehicles. Working with devoted and multi-functional engineering teams across various vehicle subsystems, your contribution will enable the effective integration of their work into our data infrastructure, while ensuring adherence to all vital NVIDIA and automotive industry standards & guidelines. The work is challenging, rewarding, and significant. We are time-bound, customer-focused, and competitive.
We are leading the technology revolution, shaping the future of transportation through our commitment to developing self-driving vehicles. As a data analyst/engineer, your primary role will be to construct robust and scalable data infrastructure that will enable us to track, analyze and validate our self-driving technology using billions of data points.
What you will be doing:
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Ways to stand out from the crowd:
NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.