Software engineer jobs in Canada

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

Counted Oct 10, 2026

Hiring at a glance

View jobs

Open jobs: 2,261
Employers: 912

Advertised starting pay

Average starting payCAD / year: $127,088Across 278 listings
Average starting payUSD / year: $157,185Across 80 listings
Average starting payCAD / hour: $54.32Across 34 listings

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

Where work happens

Remote: 11%260 listings
Hybrid: 41%925 listings
On-site: 47%1,055 listings

Not specified: 1% (21 listings)

Employers hiring include Amazon (98), Virtusa (45), Arista Networks (44).

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

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Added 1 month ago
E
Senior Software Engineer, GenAI Workflows
Eyeline
Vancouver, BC
- $165,000 to $200,000 CAD / year
- Full-time
Added 1 month ago
E
Senior Software Engineer, Finance Systems
Eyeline
Vancouver, BC
- $165,000 to $200,000 CAD / year
- Full-time
The Senior Software Engineer (Finance System) sits on the Platform Engineering team and works day to day with Production Finance to build, support, and improve the studio's bidding,…
Added 1 month ago
P
Software Engineer II
Planview
Vancouver, BC
- Full-time
Added 1 month ago
S
Senior Software Engineer
Symend
Remote, Canada
- Full-time
- Remote
The Senior Software Engineer is responsible for producing and implementing functional software solutions that align with the client needs and business goals. This role is responsible for…
Added 1 month ago
GP
Senior Software Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
Added 1 month ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science
Added 1 month ago
Software Development Engineer, Tax Engine
Amazon
Vancouver, BC
…passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Amazon Tax Platform Services is the place for…
Added 1 month ago
Systems (Software) Engineer
INDRA AIR TRAFFIC INC
Ottawa, ON
SUMMARY: The Systems/Software Engineer collaborates with clients to design, evaluate, and optimize system architectures. This role bridges hardware and softwa
Added 1 month ago
N(
Senior Software Engineer – IBM Sterling File Gateway (SFG)
Net2Source (N2S)
Toronto, ON · Scarborough, ON
- $48 to $50 CAD / hour
- Contract
Role: Senior Software Engineer – IBM Sterling File Gateway (SFG)
Added 1 month ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
We are looking for a Full Stack Software Engineer who enjoys working across the stack and turning idea
Added 1 month ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Added 1 month ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…competitive market sound exciting to you? If so, this Senior Software Engineer role with the Microsoft Turing team may be a great fit for…
Added 1 month ago
ZT
Software Engineer, Professional Senior (Android + NFC/RFID +AI )
Zebra Technologies
Mississauga, ON
- Full-time
Added 1 month ago
S
Senior Site Reliability Engineer - Batch Management
SimCorp
Toronto, ON
- Full-time
Added 1 month ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
…rates are the value proposition. We are hiring a senior backend engineer to own performance as a production engineering discipline: profiling live systems, shipping fixes to production, and…
Added 1 month ago
JG
Senior Software Engineer – IBM Sterling File Gateway (SFG)
J&M Group
Toronto, ON
- Full-time
Added 1 month ago
A
Lead Software Engineer - Front End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Added 6 months ago
BT
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 1 month ago
AA
Senior Control Systems Software Designer
ATS Automation
Cambridge, ON
- $42.31 to $58.17 CAD / hour
Added 1 month ago
Senior Software Engineer
BuildOps
Toronto, ON
We’re looking for a Senior Software Engineer to help build and scale the product experiences and systems behind that mission. In this role, you’ll work across frontend applications, backend…
Added 1 month ago
X
Systems Software Engineer
Xanadu
Toronto, ON
- Full-time
Added 1 month ago
MR
Senior Azure Cloud Engineer
Motion Recruitment
Toronto, ON
- $78 to $92 USD / hour
- Contract
Added 1 month ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Added 1 month ago
E
Staff Software Engineer - MTS 2
eBay
Toronto, ON
- Full-time
Added 1 month ago
WD
Staff Software Engineer - USD Authoring
Walt Disney Animation Studios
Vancouver, BC
- $143,100 to $191,950 CAD / year
- Full-time

Cohere

Senior Software Engineer, GPU Infrastructure (HPC)

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 3, 2026

Original job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this team?

The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North.

Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.

As a Staff Software Engineer, you will:

Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads.
Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects.
Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows.
Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently.
Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions.
Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient.
Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence.

You may be a good fit if you have:

Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments.
Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloud-native Kubernetes clusters for AI workloads.
Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
Low-level systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads.
Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges.
Self-directed problem-solving: The ability to identify bottlenecks, propose solutions, and drive impact in a fast-paced environment.

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.

6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Apply About employer

More about this job

Responsibilities

You will build and scale ML-optimized HPC infrastructure using Kubernetes to support AI model training across multiple clouds. Additionally, you will collaborate with researchers to optimize performance and provide self-service tools for debugging and monitoring training jobs.

Requirements

Candidates must have deep expertise in ML/HPC infrastructure, including experience with GPU/TPU clusters and distributed training frameworks. Proficiency in Python and Go, along with strong knowledge of Linux internals and Kubernetes at scale, is required.

Skills

Kubernetes
GPU infrastructure
HPC
Python
Go
Distributed training
JAX
PyTorch
TensorFlow
RDMA
NCCL
Linux internals
Infrastructure as code
Observability
Cloud computing
System troubleshooting

Benefits

Health insurance
Dental benefits
Mental health budget
RRSP matching
401k
Pension scheme
Parental leave
Arts and culture stipend
Fitness and wellness stipend
Education and learning stipend
Paid vacation
Home office stipend
Lunch stipend

Remote locations

Toronto, Canada
London, United Kingdom
New York City, United States
San Francisco, United States
Montreal, Canada
Paris, France
Berlin, Germany
Seoul, South Korea

Remote locations (standardized)

Berlin, Germany
London, England, United Kingdom
Montreal, Quebec, Canada
New York, New York, United States
Paris, Ile-de-France, France
San Francisco, California, United States
Seoul, South Korea
Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
GPU Infrastructure
HPC
Kubernetes
Machine Learning
Artificial Intelligence
Python
Go
Distributed Training
JAX
PyTorch
TensorFlow
RDMA
NCCL
Linux
Infrastructure as Code
Observability
Cloud Computing
Superclusters
System Architecture
Performance Optimization
Automation
Enterprise AI
Foundation Models
Scalability
Reliability
Debugging
Networking
Tech Infrastructure
Engineering Excellence

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