Ingénieur·e En Apprentissage Automatique, Ii – App Engine

Torc Robotics

Montreal, Quebec, Canada
On-site
Embedded software development with gpu specialization
Tensorrt and cuda experience required
Real-time distributed systems development
The mission of the Application Engine team is to provide a robust platform for integrating deep learning models in Level 4 autonomous trucking

Job Summary

  • The mission of the Application Engine team is to provide a robust platform for integrating deep learning models in Level 4 autonomous trucking.
  • Candidates will develop an SDK capable of scaling across multiple distributed System on Chip (SoC) architectures using Ethernet and PCIe.
  • Torc Robotics is part of the Daimler family and focuses exclusively on developing software for automated trucks.

Matching Summary

The mission of the Application Engine team is to provide a robust platform for integrating deep learning models in Level 4 autonomous trucking.

Skills & Requirements

Must-have

  • Embedded software development with GPU specialization
  • TensorRT and CUDA experience required
  • Real-time distributed systems development
  • Advanced C++ programming and design patterns
  • Linux operating system proficiency

Nice-to-have

  • SDK development for complex embedded systems
  • Experience with autonomous vehicle robotics
  • Knowledge of computer architecture principles
  • PyTorch framework familiarity
  • Multi-SoC integration expertise

Key Requirements

  • Master's degree in Computer Science or Electrical Engineering
  • Experience with concurrent resource optimization on GPUs
  • Proficiency in English language required

Work Rights

Not specified

Tailored Resume

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