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What you'll be doing:
Design and improving NVIDIA automated build/compile infrastructure, CI/CD frameworks; improving performance from local to cloud cluster, even on Car/Virtual Car platforms.
Design and implement infrastructure for OTA build infrastructure. Practice with Python SDKs, Python packaging, cross language bindings (C++/Python) and/or the Bazel build system.
Design and implement Automotive Vehicles software platforms, including kernelmodifications/extensions,driverimplementation/enhancement,system integration, performance optimization,
stress/stability/compliancetest.
Supervising and improving our entire pipeline of automated testing and delivery, from code to production
Supervising production alerts and providing solution recommendations.
Analyze complex technical issues and independently drive resolution across multiple teams
Work in an environment which involves Linux, QNX RTOS.
What we need to see:
BS or MS in CS/CE/EE or equivalent experience
3+ years in a related field
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Deep knowledge of build/compile, Bazel, continuous integration and continuous delivery systems such as Jenkins.
Experienced on containerization technologies such as Docker.
Proficiency in multiple language such as Python, C/C++, as well as shell scripting on both Linux and QNX
Deep understanding of Service-Oriented Architecture
Ways to stand out from the crowd:
Prior experience in Automotive field
Background in QNX RTOS and debug tools
Worked with CAN and tools, RADAR, LiDAR is a plus
Familiarity with cloud-based workflows is a plus
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