ML Engineer, II - App Engine

Responsibilities

• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip.
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software.
• Support Virtual Driver Division with their usage of the Application Engine.
• Creation of high-quality code including test case development.

Qualifications

• Experience with Embedded Software Development, especially with a focus on GPUs.
• Experience with TensorRT and CUDA.
• Experience in the development of real-time distributed systems.
...