Machine Learning Engineer II – App Engine (CUDA)
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El puesto
Implement and optimize software components enabling distributed execution of ML models on embedded GPU platforms.
Contribute to message-passing, resource management, and runtime features for the App Engine SDK.
Profile and optimize GPU utilization to reduce latency and maximize throughput for ML workloads.
Collaborate with feature teams to validate App Engine functionality in vehicle and simulation environments.
Maintain clean, efficient C++ code with comprehensive unit and integration tests.
Requires strong problem-solving, collaboration in a fast-paced environment, and hands-on CUDA experience.
Contribute to message-passing, resource management, and runtime features for the App Engine SDK.
Profile and optimize GPU utilization to reduce latency and maximize throughput for ML workloads.
Collaborate with feature teams to validate App Engine functionality in vehicle and simulation environments.
Maintain clean, efficient C++ code with comprehensive unit and integration tests.
Requires strong problem-solving, collaboration in a fast-paced environment, and hands-on CUDA experience.
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