Software Engineering Intern: Dataflow & Compiler Systems

PassFort

Toronto

On-site

CAD 74,000 - 91,000

Part time

2 days ago
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Benefits offered by this job

Caffeine on Us
Modern workspace
Mac hardware provided

Job summary

OLIX in Toronto is seeking a Software Engineering Intern to join our team building the software stack (compiler, runtime, simulation and tooling) for the DX-1 accelerator. This co-op/ internship offers hands-on experience with a dataflow architecture in a disaggregated inference environment.

Based in Toronto, you will work closely with mentors to own and deliver scoped projects, contribute production code, and optimize performance across compiler and systems software.

Qualifications

  • Pursuing Bachelor's or Master's in CS/CE/Math with available co-op or internship.
  • Hands-on experience with C/C++ beyond coursework.
  • Solid understanding of memory hierarchies and concurrency.
  • Experience with compilers or systems software.
  • Familiarity with ML frameworks and optimization techniques.
  • Strong problem-solving and teamwork.

Responsibilities

  • Own and deliver scoped projects on the team roadmap with mentorship.
  • Contribute production code to compiler, runtime, or tooling.
  • Optimize performance through layout, scheduling, or tiling.
  • Collaborate with compiler, systems, FPGA and ASIC engineers.
  • Ground conclusions in measurement and clearly report results.

Skills

C/C++ programming
Systems fundamentals
Concurrency
Performance analysis
Compiler or systems software
Teamwork & communication
ML framework internals

Education

Bachelor’s or Master’s degree in CS/CE/Math

Tools

LLVM
OpenXLA/XLA
MLIR
TVM

Job description

OLIX in Toronto is seeking a Software Engineering Intern to join our team building the software stack (compiler, runtime, simulation and tooling) for the DX-1 accelerator. This co-op/ internship offers hands-on experience with a dataflow architecture in a disaggregated inference environment.

Based in Toronto, you will work closely with mentors to own and deliver scoped projects, contribute production code, and optimize performance across compiler and systems software.

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