Startup Careers

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Deep Learning Framework Integration Engineer at Untether AI
Toronto, CA / Toronto, Ontario, CA / Toronto, ON

Untether AI is looking for an experienced Deep Learning Framework Integration Engineer. The objective of the role is to make it as seamless as possible for researchers and developers to successfully deploy neural networks to run on our hardware.

 

Role Specific Responsibilities:

  • Provide a stable API to compiler/optimized
  • Provide feedback via API about expected performance to help with optimization
  • Create and test flexible integrations with TensorFlow and similar frameworks
  • Build tools to allow users to tune networks for our hardware
  • Build simulations to allow users to characterize the performance of their neural net on our hardware
  • Interface with Compiler and Developer Tools teams 

General Responsibilities:

  • Release high-quality open-source tools
  • Assist in building our software engineering team
  • Validation and testing of pre-production hardware
  • Build high quality simulation/emulation of our architecture for testing of RTL, hardware and software tools 


 

Qualifications: 

  • Computer Science, Engineering or related degree
  • Experience deploying neural nets to production 

 

 

General Skills: 

 

  • Driven and self-directed
  • Proficiency in a variety of development styles and languages
  • Ability to build projects from the ground up
  • Comfortable working within a rapidly evolving project
  • Strong focus on testing and software quality
  • Team focus and desire to help build the team