Software engineer jobs in Canada

Find software engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Sep 22, 2026

Hiring at a glance

View jobs

Open jobs: 2,193
Employers: 911

Advertised starting pay

Average starting payCAD / year: $128,123Across 274 listings
Average starting payUSD / year: $149,795Across 98 listings
Average starting payCAD / hour: $55.83Across 28 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%260 listings
Hybrid: 41%905 listings
On-site: 45%992 listings

Not specified: 2% (36 listings)

Employers hiring include Amazon (100), Arista Networks (38), EA SPORTS (27).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software engineer jobs in Canada

Save this search

Added 1 month ago
Staff Software Engineer
XTRACT ONE
Toronto, ON
Full-time
Added 1 month ago
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
€143,000 to €184,000 EUR / year
Added 1 month ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
Added 19 days ago
Senior Software Engineer, Full-Stack Applications - AI Innovation Teams
Fitch Group
Toronto, ON
Added 1 month ago
Full Stack Software Engineer
Gumloop
Vancouver, BC
Full-time
Added 1 month ago
Software Development Engineer, Alexa Connections
Amazon
Vancouver, BC
Added 17 days ago
Software Engineer II / Software Developer II (React Native)
PlayStation Global
Waterloo, ON
Added 1 month ago
Ingénieure SRE / Site Reliability Engineer
mthree
Montreal, QC
…dynamique en tant qu’Ingénieure Fiabilité de Site (Site Reliability Engineer) pour l’un de nos clients. Le Site Reliability Engineering (SRE) est une discipline orientée production, axée…
Added 2 months ago
Software Engineer - GPU Kernels
Baseten
Montreal, Quebec
$180,000 to $360,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Billing and Internal Tooling
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Model Performance
Baseten
Montreal, Quebec
$180,000 to $360,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Model Products
Baseten
Montreal, Quebec
$180,000 to $360,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Infrastructure
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
Added 2 months ago
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Enterprise Platform
Baseten
Montreal, Quebec
$165,000 to $330,000 USD / year
Full-time
Added 2 months ago
Senior Software Engineer
Hiive
Remote, Canada
$150,000 to $275,000 CAD / year
Full-time · Remote
Added 2 months ago
Senior Software Engineer, Elixir
Hiive
Vancouver, British Columbia
$150,000 to $275,000 CAD / year
Full-time
Added 2 months ago
Senior Software Engineer - Generalist (Foundations) (Apex Legends)
Respawn Entertainment
Vancouver, British Columbia · Greater Vancouver Metropolitan Area
Full-time
Job Title: Senior Software Engineer, Foundations (Apex Legends)
Added 1 month ago
Cloud Engineer
Arista Networks
Vancouver, BC
Contract
…advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our…
Added 2 months ago
Software Engineer
Broadsign
Montreal, Quebec
Full-time
Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful…
Added 2 months ago
Senior Software Engineer, Marketplace
Lyft
Toronto, Ontario
Full-time
Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the…
Added 2 months ago
Open IMA Development Engineer / IMA Systems Architect
Accord Technologies Inc
Montreal, Quebec
Full-time
Role: Open IMA Development Engineer / IMA Systems Architect
Added 4 months ago
Embedded Software Designer - Platform Software
Zhone Technologies
Ottawa, Ontario
$130,000 to $146,000 CAD / year
Full-time
As a member of a dynamic development team, the Embedded Software Designer (Platform Software) will be actively involved in designing and developing embedded software for next generation…
Added 2 months ago
Senior Software Engineer - Applied AI
Feathery
Toronto, Ontario
$90,000 to $140,000 CAD / year
Full-time
Added 2 months ago
Senior Software Engineer
Clutch
Toronto, Ontario
$160,000 to $200,000 USD / year
Full-time

Baseten

Software Engineer - GPU Kernels

Montreal, QC, Canada

Pay: $180,000 to $360,000 USD / year
Job type: Full-time
Posting language: English
Posted: Jul 10, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.

You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Model Performance team:

Baseten Embeddings Inference: The fastest embeddings solution available
The Baseten Inference Stack
Driving model performance optimization

Responsibilities

Core Engineering Responsibilities

Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap

Performance & Innovation

Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap
Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
Collaborate with research teams to productionize theoretical advancements

Impact & Collaboration

Contribute to internal and open-source GPU libraries
Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)

Requirements

Strong understanding of GPU architecture and programming paradigms:

Memory hierarchy (global, shared, registers, L1/L2 cache)
Thread/block/grid organization
Synchronization techniques and race condition mitigation

Proficient in C++ and GPU performance profiling tools
Knowledge of:

CUDA C++ API
Memory access patterns and bandwidth optimization
Numerical precision and quantization strategies
Modern GPU features (e.g., tensor cores, async operations)

NICE TO HAVE

Experience with Transformer models and attention optimization (e.g., Flash Attention)
Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
Background in GEMM tuning and distributed/multi-GPU compute
Contributions to open-source GPU projects
Research publications or conference presentations on GPU performance

Benefits

Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $180K - $360K

Apply About employer

More about this job

Responsibilities

Design and implement high-performance GPU kernels for key machine learning operations. Collaborate with research teams to optimize performance and contribute to internal and open-source GPU libraries.

Requirements

Strong understanding of GPU architecture and programming paradigms is required. Proficiency in C++ and knowledge of CUDA and GPU performance profiling tools are essential.

Skills

GPU Architecture
CUDA
C++
Performance Profiling
Memory Optimization
Quantization
Attention Mechanisms
Matrix Multiplications
Tensor Core Acceleration
Sparsity
Compute/Communication Overlap
Synchronization Techniques
Race Condition Mitigation
GEMM Tuning
Distributed Compute
Open-Source Contributions

Benefits

Health Insurance
Stock Options
401k
Flexible PTO
Paid Parental Leave
Fertility and Family-Building Stipend

Visa sponsorship

Not detected in the job text

Keywords

GPU
CUDA
C++
Machine Learning
Performance Optimization
Quantization
Attention Mechanisms
Matrix Multiplications
Tensor Cores
Sparsity
Compute Overlap
Profiling Tools
Memory Hierarchy
Thread Organization
Race Conditions
GEMM Tuning
Open-Source
AI
Inference
Model Performance
NVIDIA
AWS
Cutlass
Triton
Thrust
CUB
Flash Attention
Nsight Systems
Nsight Compute
Torch Profiler

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