Design & execute tests for Embedded Jetson platform components and SDK use cases.
Create test strategy, detailed, and well-structured test plans and test cases based on high-level customer requirements.
Bring new innovation in validation to catch software stack issues with optimized test case execution across different Jetson platforms.
Actively participate in review and provide feedback on product feature requirements, specifications, and technical design documents.
Developing /validating AI applications based on different Embedded AI use cases over Jetson Platforms.
Validate Product Level Use cases E2E across different SDK environments.
Design, author, code and maintain scenario of Jetpack SDK components and validate product level Use cases.
Working closely with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all partners.
Application development, test tools and new feature tests automation on embedded platform using Nvidia Test framework.
What we need to see:
B.Tech., or Equivalent degree in CS/CE/IT/ECE/EEE.
At least 4+ years of Testing experience in Embedded Software validation on Linux.
Experience with Linux Ubuntu / RHEL is must.
Sound Knowledge of Linux OS Architecture and Embedded Platforms subsystem.
Excellent programming skills in python should be able to design and code from scratch.
Experience to use Configuration Management tools (Git, Perforce) and Agile scrum tools (JIRA, JAMA).
Good debugging skills. Able to understand different logs and the root cause of the issue.
Should be an excellent teammate, with passion for new technology/trends.
Knowledge of Cloud computing platforms like AWS, Nvidia GPU Cloud.
Ways to stand out from the crowd:
Any certification course on Machine learning.
Knowledge of compute vision algorithm and application testing.
C++ coding experience good to have. Understand the large C++ project code and derive functional/unit tests.
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