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What you will be doing:
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 )
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.
Writing Evaluator framework to get the replay sessions Automated in a High computation- Data center Environment
Analyze the results to identify the bugs, inconsistencies, or Areas of improvement- Related to Replaysystems/Tools andmake sure that approved changes/code fixes are incorporated using the CI/CD infrastructure
Document replay environment architecture and usage procedures.
What we need to see:
You are a Master/PhD student (in Computer Science, Electrical Engineering or Computer Engineering or Robotics)
Have good C++ and Python Coding capabilities in Linux based Infrastructure
Should have worked Gitlab or Similar Code Repositories
Good understanding of ADAS functions and architecture
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