Startup Careers

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Algorithm & Topology Optimization Engineer at Untether AI
Toronto, CA / Toronto, Ontario, CA / Toronto, ON

Untether AI is looking for an experienced Algorithm & Topology Optimization Engineer. The objective of the role is to build efficient implementations of real-world neural nets, including basic layer types, important scaling and other operations like beam search, etc. The successful candidate will build a deep understanding of the capabilities, limitations and details of our architecture and work closely with our architects and compiler engineers.

 

Role Specific Responsibilities:

  • Design and prototype low-level implementation strategies for various neural net operations
  • Communicate optimization ideas both to compiler engineers and to architects working on future product generations
  • Design multi-chip neural net topologies and inference strategies

 

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, preferably MS or PhD
  • Experience applying advanced optimization techniques
  • Demonstrated ability to work independently through challenging but tightly constrained problems
  • Interest and ability to work with both high level conceptual and very low-level technical details 

 

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