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Senior ML Compiler Engineer

Job in Ottawa, Ontario, Canada
Listing for: 5V Tech
Full Time position
Listed on 2026-07-21
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Hardware Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 170000 CAD Yearly CAD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
  • Total Comp:
    Equity (Stock Options), Bonus Plan, Health Insurance, and more

A pioneering AI semiconductor company is building a fundamentally new processing architecture designed to deliver dramatically lower power AI inferencing for always on, edge and endpoint devices. Their proprietary approach breaks from conventional digital compute, enabling real time processing of audio, vision, and sensor data at a fraction of the energy cost of traditional processors, unlocking new possibilities across smart devices, robotics, automotive, and wearable technology.

With proven silicon already validated by customers and fresh investment behind them, they are now scaling their platform software team and are looking for a Senior ML Compiler Engineer to help take their technology from validation into high volume production.

Key responsibilities:
  • Building and optimizing compilers to map deep neural networks onto a novel, heterogeneous processing architecture
  • Taking machine learning models and neural networks and efficiently fitting them onto unconventional compute arrays
  • Working with LLVM and MLIR to develop and extend compiler infrastructure for a custom hardware target
  • Collaborating with hardware and ML teams to co optimize model performance against silicon constraints
  • Applying compiler design principles to non traditional computer architectures (FPGA, analog, neuromorphic)
  • Contributing to a small, highly selective engineering team building category defining technology from the ground up
Ideal Profile:
  • 5+ years experience in compiler engineering, ideally within ML or deep learning contexts
  • Strong hands on experience with LLVM and MLIR
  • Experience with FPGA, analog, or neuromorphic computer architectures is highly valued
  • Proven ability to take neural network models and translate them onto novel hardware targets
  • A genuine passion for cutting edge technology and a desire to make a tangible impact within a small, mission driven team
  • Comfortable operating in a fast paced startup environment where adaptability and innovation are essential

This is a rare opportunity to join a small, highly selective team working on technology built from first principles to redefine how machine learning is processed at the edge. Full details on the company will be shared once you're through to the next stage.

APPLY NOW to discuss further details.

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Position Requirements
10+ Years work experience
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