Jobs in Laval, QC and nearby

Jobs within 25 km of Laval, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

34,226 listings · 4,911 employers Counted Oct 30, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,125 listings), RI-MUHC | Research Institute of the MUHC | #rimuhc (887 listings), Shoppers Drug Mart (650 listings).

Common roles: Project manager, Retail sales associate, Software developer.

2,969 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	26.00	1,704
CAD / year	78,300.00	1,064
USD / year	103,000.00	84
USD / hour	48.28	77

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.

Workplace classifications: 0% remote, 31% hybrid, 69% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Laval, QC and nearby

Within 25 km

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Added 9 hours ago
EC
Frontend Angular Developer
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Montreal, QC
- Contract
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Keurig Dr Pepper Canada
Montreal, QC
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C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
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W
(CAN) Chef d’équipe Stocking 3
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Pointe-Claire, QC
- Full-time
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National Bank of Canada
Montreal, QC
- Full-time
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National Bank of Canada
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Laval, QC
- Full-time
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Place à l'emploi – Longueuil Rive-Sud
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Montreal, QC
- Full-time
Added 12 hours ago
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Baseten

Software Engineer - Infrastructure

Montreal, QC, Canada

$165,000 to $330,000 USD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $165,000 to $330,000 USD / year
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 30, 2026

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 ship AI products.

THE ROLE

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

EXAMPLE INITIATIVES

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

Multi-cloud capacity management
Inference on B200 GPUs
Multi-node inference
Fractional H100 GPUs for efficient model serving

Responsibilities

Develop infrastructure components for our ML inference platform using Python and Go
Implement and maintain Kubernetes deployments for model serving
Contribute to our inference orchestration layer for model deployments
Build and enhance monitoring systems for model performance metrics
Implement efficient resource management solutions for ML workloads
Support infrastructure automation to improve ML deployment workflows
Work closely with team members to implement technical solutions
Help balance performance optimization with system reliability
Participate in technical discussions around infrastructure improvements
Learn and apply infrastructure best practices

Requirements

Bachelor's degree or higher in Computer Science or related field
Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
Working knowledge of Kubernetes and containerization
Basic understanding of machine learning concepts and model serving
Familiarity with distributed systems concepts
Experience with basic monitoring and logging tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 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
(U.S. only) 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: $165K - $330K

Apply About employer

More about this job

Responsibilities

Develop and maintain infrastructure for Baseten’s ML inference platform, including Kubernetes-based model serving, inference orchestration, monitoring, and resource management. Improve deployment automation and system performance and reliability while collaborating on infrastructure solutions.

Requirements

A bachelor’s degree or higher in computer science or a related field is required, along with coding proficiency in a popular programming or scripting language; Go is a plus. Candidates should have working knowledge of Kubernetes and containers, basic machine learning and model-serving concepts, familiarity with distributed systems and monitoring or logging tools, and strong collaboration and communication skills.

Skills

Python
Go
Kubernetes
Containerization
Machine Learning
Model Serving
Distributed Systems
Monitoring
Logging
Infrastructure Automation
Resource Management
Performance Optimization
System Reliability
Inference Orchestration
Cloud Infrastructure
Collaboration

Benefits

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility and Family-Building Stipend
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Python
Go
Kubernetes
Containerization
Machine Learning
ML Inference
Model Serving
Inference Orchestration
Distributed Systems
Multi-Cloud Capacity Management
B200 GPUs
H100 GPUs
Multi-Node Inference
Fractional GPUs
Monitoring
Logging
Performance Metrics
Resource Management
Infrastructure Automation
Deployment Workflows
Cloud Infrastructure
System Reliability
Performance Optimization
AI Infrastructure
Computer Science

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