Take your skills to the next level as a Machine Learning Engineer II with Torc, focusing on the development of sophisticated processing SDKs. This role utilizes cutting-edge technologies to drive innovation.In this position, you will focus on the development of a runtime environment for machine learning-based applications and SDKs designed for Virtual Drivers. Your knowledge of GPUs and C++ will play a crucial role in optimizing real-time distributed systems. Collaboration with the Virtual Driver Division will also be a key component of your work, ensuring the seamless application of advanced technology in real-world scenarios.Key Responsibilities:• Build processing pipeline SDKs across distributed architectures• Optimize GPU and memory resource use for models• Create runtime environments for virtual driver applications• Develop features for SDKs supporting driver systems• Write high-quality, testable codeRequirements:• Background in Embedded Software Development and GPUs• Proficient in C++, TensorRT, and CUDA• Experience with real-time distributed systems• Familiarity with machine learning technologies• Master’s degree in relevant fieldUtilize your embedded systems expertise in an innovative environment at Torc.#J-18808-Ljbffr
Mid-Level Engineer In Machine Learning
TORC ROBOTICS
montreal (administrative region), montreal (administrative region)
Published 20 days ago
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