Mid-Level Engineer in Machine Learning
montreal (administrative region), qc, Canada • Posted June 05, 2026
Job Type:
Full-time
Location:
montreal (administrative region), qc
Posted:
June 05, 2026
Category:
Other-General
Application Deadline:
July 15, 2026
Role Description
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 code
Requirements:
• Background in Embedded Softwar...
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 code
Requirements:
• Background in Embedded Softwar...
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