Deep Learning Engineer - Distributed Task-based Backends jobs at Nvidia
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579 jobs found
31.08.2024
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Nvidia Deep Learning Engineer - Distributed Task-Based Backends United States, Texas
Develop extensions to popular Deep Learning frameworks, that enable easy experimentation with various parallelization strategies!. Develop compiler optimizations and parallelization heuristics to improve the performance of AI models at extreme...
As a member of our team, you will use your design abilities, coding expertise, and creativity to develop and improve the functionality and performance of runtime systems that underlay the...
Architect, prioritize, and develop new features in Legion and Realm. Analyze and improve the performance of Legion and Realm for key applications. Write effective, maintainable, and well-tested code for production...
Design and develop new user-friendly APIs and libraries to optimally use existing DL/ML frameworks in GPU-enabled Spark clusters for distributed DL/ML training and inference at scale. Design and develop GPU...
Course or internship experience related to the following areascould berequired:. Computer Architecture. or Machine Learning. GPU computing andparallel. Performance modeling, profiling,optimizing,and/or. Depending on the internship role, prior experience or knowledge...
Developing and trainingstate-of-the-artDeep Neural Networks for path generation. Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests. Course or internship experience related to the...
Orchestrate the integration of new hardware functionalities into TensorRT'scompilerand runtime. Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to...
Develop extensions to popular Deep Learning frameworks, that enable easy experimentation with various parallelization strategies!. Develop compiler optimizations and parallelization heuristics to improve the performance of AI models at extreme...
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