ML Engineer, II - App Engine

What this role involves

This role involves developing a processing pipeline SDK and runtime environment for deploying machine learning models on autonomous trucks. The engineer will optimize GPU resource usage and support the Virtual Driver Division. Required experience includes embedded software development with GPUs, TensorRT, CUDA, and C++.

Skills this posting asks for

• c++
• cuda
• tensorrt
• pytorch
• linux
• embedded systems
• gpu
• distributed systems
• machine learning
• sdk development
• real-time systems
• computer architecture
• autonomous vehicles
• system on a chip
• memory management
• pcie
• ethernet
• virtual driver
• processing pipeline
• test case development

Requirements

• 5 years of experience
• Level: mid

From the employer’s posting

  About the Company  At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.&nbsp…