Jobs in Canada

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Added 2 mins ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
To qualify for the position, you must have:
Added 16 mins ago
GD
QMS Auditor
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- Full-time
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- Full-time
As a Senior Android SDK Developer, you will be a key contributor to our mobile platform, focused on building and evolving our Android SDKs. You will work closely with other SDK engineers,…
Added 17 mins ago
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Senior Engineering Manager
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- $209,000 to $313,000 CAD / year
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- $65 to $95 CAD / hour
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
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Compiler Engineer
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Toronto, ON
- $250,000 to $400,000 CAD / year
- Full-time
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OG
Senior System Software Engineer
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Toronto, ON
- $250,000 to $450,000 CAD / year
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Oho Group

Compiler Engineer

Toronto, ON, Canada

$250,000 to $400,000 CAD / year · Full-time

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Job details

Pay: $250,000 to $400,000 CAD / year
Job type: Full-time
Apply by: Dec 12, 2026
Posting language: English
Posted: Nov 12, 2026

Original job description

Compiler Optimization Engineer | AI Systems

I’m working with a venture-backed AI infrastructure startup building a compiler and runtime platform designed to improve accelerator efficiency and give developers greater flexibility over where their workloads run.

They’re looking for a Compiler Optimization Engineer to shape the part of the compiler that turns model structure into better execution.

The opportunity

You’ll work between model import and target code generation, making decisions about how computations are represented, transformed and prepared for execution.

Your work will include:

Developing graph transformations that reduce redundant work and unnecessary data movement.
Improving fusion decisions and how tensor layouts propagate through a program.
Evolving the IR and pass pipeline as new model patterns emerge.
Using hardware measurements to identify missed optimisation opportunities.
Working with frontend and backend engineers to keep compiler interfaces clear.
Building validation that protects correctness as optimisations become more ambitious.

What would make you a strong fit

Strong C++ and practical experience developing compiler transformations or IRs.
A clear understanding of dataflow, optimisation legality and performance tradeoffs.
The ability to connect graph and layout decisions with memory behaviour on accelerators.

Experience with MLIR, XLA, affine or polyhedral analysis, or ML framework internals would be particularly relevant.

The appeal is substantial technical ownership: your decisions will influence how models are compiled and how effectively they use different hardware. You’ll join an experienced compiler and systems team, with equity participation and room to develop new approaches.

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More about this job

Responsibilities

Develop and improve compiler graph transformations, fusion decisions, tensor layout propagation, intermediate representations, and pass pipelines to optimize model execution on accelerators. Use hardware measurements to identify optimization opportunities, collaborate with frontend and backend engineers, and build validation to preserve correctness.

Requirements

Strong C++ skills and practical experience developing compiler transformations or intermediate representations are required, along with understanding of dataflow, optimization legality, and performance tradeoffs. Relevant experience connecting graph and layout decisions to accelerator memory behavior is important; MLIR, XLA, affine or polyhedral analysis, and machine-learning framework internals are particularly relevant.

Skills

C++
Compiler Transformations
Intermediate Representations
Dataflow Analysis
Optimization Legality
Performance Optimization
Graph Transformations
Operator Fusion
Tensor Layouts
Memory Behavior
Accelerator Hardware
MLIR
XLA
Affine Analysis
Polyhedral Analysis

Benefits

Equity Participation

Visa sponsorship

Not detected in the job text

Keywords

Compiler Optimization
AI Infrastructure
Compiler
Runtime Platform
Accelerators
C++
Graph Transformations
Data Movement
Operator Fusion
Tensor Layouts
Intermediate Representation
Compiler Pass Pipeline
Model Import
Target Code Generation
Dataflow
Optimization Legality
Performance Tradeoffs
Memory Behavior
Hardware Measurements
Correctness Validation
MLIR
XLA
Affine Analysis
Polyhedral Analysis
Machine-Learning Framework Internals

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Work requirements

Jobs in Canada