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Key skills for this role
Work on the SW platform components of the NVIDIA autonomous driving software stack
Analyse, debug, fix bugs in the SW platform components to deliver high quality SW releases to customers
Contribute to platform software development, tools, filesystem customization, and software integration
Enhance integration efficiency to facilitate low latency development on Autonomous Vehicle Simulation & Car platforms
Regularly engage with customer teams to productize workflows for platform integration
BS or MS degree from a leading university, or equivalent experience, in an engineering or computer science related discipline with 5+ years of relevant working experience
Excellent programming skills in C, C++ and Python and understanding of build systems (like Bazel)
Working experience with ADAS or autonomous driving software stack
Good working knowledge of Linux and QNX
Proficient debugging skills from application to kernel level on embedded hardware
Experience in software architecture design
Good written and verbal interpersonal skills - concisely articulate knowledge and ideas
Experience in functional development, adaptation and testing of automotive software based on various sensors (e.g. camera, radar, lidar, GPS, ultrasound etc.)
Background in automotive ECU software integration, in Classic and Adaptive AUTOSAR
Experience developing software in heterogeneous architectures, including GPUs and other types of accelerators
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Self-motivated and work effectively across different international functional organizations.
Computing platform company for AI and accelerated graphics.
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