Jobs in Coquitlam, BC and nearby

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

20,936 listings · 3,447 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (651 listings), Fraser Health (615 listings), Provincial Health Services Authority (447 listings).

Common roles: Registered nurse, Software engineer, Retail sales associate.

3,968 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	32.84	1,741
CAD / year	85,000.00	1,730
CAD / month	6,143.67	166
USD / hour	18.85	145
USD / year	91,200.00	79

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, 21% hybrid, 79% 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 Coquitlam, BC and nearby

Within 25 km

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Added 19 hours ago
RS
drywall installer lead hand
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PDF Solutions

Senior Python Software Developer

555 W Hastings St Floor 18, Vancouver, BC, V6B 4N6, Canada

CAD $120,000.00 - CAD $155,000.00 /Yr. · Full-time

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Job details

Pay: CAD $120,000.00 - CAD $155,000.00 /Yr.
Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Sep 9, 2026

Original job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.

Responsibilities

Implementing production grade scalable ML algorithms and analytics solutions
Improving computational performance of ML algorithms and analytics solutions
Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications

MS or PhD in Computer Science, EE, Physics or related quantitative field
8+ years of experience in back-end development in python.
4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
Experience with API calls.
Hands-on experience with containers such as Docker.
Ability to analyze the bottlenecks and create high performance code.
Good understanding of CPU and memory issues in parallel computing

Pay Range

CAD $120,000.00 - CAD $155,000.00 /Yr.

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More about this job

Responsibilities

The role involves building and deploying robust machine learning modeling pipelines into production environments. You will collaborate with software engineers and data scientists to improve algorithm performance and create clean API interfaces.

Requirements

Candidates must hold an MS or PhD in a quantitative field and possess over 8 years of back-end Python development experience. Strong expertise in machine learning libraries, containerization, and database management is required.

Skills

Python
Machine Learning
Algorithm Implementation
Software Engineering
API Development
Docker
Postgresql
Cassandra
Redis
Parallel Computing
Data Analytics
NoSQL
Relational Databases
Production Deployment
Semiconductor Industry

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Semiconductor
Software Engineering
API
Docker
Postgresql
Cassandra
Redis
NoSQL
Parallel Computing
Algorithms
Production
Data Science
Back-end Development
Containers
Analytics
Modeling Pipeline
CPU
Memory Management

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