Autonomous vehicles need a supercomputer on wheels, it's an AI & SW heavy computational challenge. There isn't an off-the-shelf platform which stands up to this challenge, so we are building our own. NVIDIA DRIVETM has been one of the most popular platforms for autonomous driving. Many startups around the globe use NVIDIA technology to develop self-driving vehicles.
We are looking for an enthusiastic student to join the Software Solution Architect team with primary focus on autonomous driving.
What you will be doing:
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Understanding the existing Replay environment - Both Open loop and Closed Loop Replay and make necessary changes in the code as per the use cases from different stake holders (Developers, testers, Function Owners etc )
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Triage Data Sessions from the in-car environments - Provide Guidance/ Help to stakeholders to get the sessions running in OLR (Open loop Replay) and CLR (Closed loop Replay)-Hand holding using Replay tools.
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Writing Evaluator framework to get the replay sessions Automated in a High computation- Data center Environment
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Analyze the results to identify the bugs, inconsistencies, or Areas of improvement- Related to Replay systems/Tools and make sure that approved changes/code fixes are incorporated using the CI/CD infrastructure
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Document replay environment architecture and usage procedures.
What we need to see:
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You are a Master/PhD student (in Computer Science, Electrical Engineering or Computer Engineering or Robotics)
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Have good C++ and Python Coding capabilities in Linux based Infrastructure
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Should have worked Gitlab or Similar Code Repositories
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Good understanding of ADAS functions and architecture
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous, have a real passion for technology, and love a new challenge we want to hear from you.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
