Jobs in Canada

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Added 1 month ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience
Added 1 month ago
S
Senior Quality Process Development Engineer
Semtech
Burlington, ON
- Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 1 month ago
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Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
- Full-time
GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Added 1 month ago
I
Data Engineer Sr
Insight
Toronto, ON
- Full-time
Experience supporting machine learning, artificial intelligence, or advanced analytics initiatives.
Added 1 month ago
I
Data Architect
Insight
Toronto, ON
- Full-time
Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.
Added 1 month ago
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Software Development Engineer - Agent Factory
Workday
Vancouver, BC
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 1 month ago
GD
Full Stack Product Engineer
Go-Get Data Consultancy
Remote, Canada
- $240,000 to $320,000 USD / year
- Full-time
- Remote
…software engineering, marketing technology, analytics, and machine learning - with substantial ownership and direct customer…
Added 1 month ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
…work closely with applied scientists, product managers, and senior engineers to turn ambiguous customer problems into technical designs and ship them to production. The ideal candidate…
Added 1 month ago
GS
Senior Software Developer
GeoLOGIC Systems Limited
Calgary, AB
- Full-time
…modern technology with AI at its core, and we're looking for a Senior Software Developer to help build it. This is a role for someone who writes strong code, has real opinions about…
Added 1 month ago
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Senior AI Engineer
Tangerine
Toronto, ON
- Full-time
…and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 1 month ago
Senior AI Engineer
Scotiabank
Toronto, ON
…and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 1 month ago
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Customer Value Manager - Ontario
Tekion
Remote, Canada
- $94,000 to $117,000 CAD / year
- Full-time
- Remote
…transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable…
Added 1 month ago
Software Development Manager, Promotions Customer Experience (PCX)
Amazon
Vancouver, BC
- Drive system design and architecture decisions across distributed services, real-time and batch data pipelines, and machine-learning-driven merchandising at scale.
Added 1 month ago
SC
Director, Analytics & Insights
Securian Canada
Waterloo, ON
- $130,000 to $170,000 CAD / year
- Full-time
Advance AI, Machine Learning & Analytical Innovation
Added 1 month ago
SC
Director, Analytics & Insights
Securian Canada
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Advance AI, Machine Learning & Analytical Innovation
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Develop analytical foundations that support advanced analytics, machine learning, and emerging AI capabilities.
Added 1 month ago
C
Senior Automation Developer (Java)
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Develop analytical foundations that support advanced analytics, machine learning, and emerging AI capabilities.
Added 1 month ago
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Director, Wealth Digital AI Platforms & Technology Delivery
BMO
Toronto, ON · BMOPLACE
- Full-time
This role is HYBRID, requires senior leadership and hands on capability to build complex AI solutions.
Added 1 month ago
M
Senior Account Executive – Managed Services
Malleum
Remote, Canada
- Full-time
- Remote
We’re searching for a commercial leader to build the revenue engine for our MSP, MalleumOne. This is a senior, hands-on builder role for someone who can create structure where none yet…
Added 1 month ago
SO
Cloud Support Lead
Supply Ontario
Toronto, ON · Greater Toronto Area, Canada
- $88,496 to $128,625 CAD / year
- Full-time
Must have experience deploying and supporting Azure Foundry, Machine Learning (ML), Agents, and Generative AI models
Added 1 month ago
Canada Leader, Specialist Solution Architects | Chef du Canada, Architectes de solutions spécialisés
Amazon
Vancouver, BC · Toronto, ON · Montreal, QC
…Transformation through technology, and Artificial Intelligence and Machine Learning…
Added 1 month ago
H(
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Demonstrated experience working with unstructured data (documents, text, images, or audio) in support of AI or machine learning use cases.
Added 1 month ago
UO
Chief Information Security Officer
University of Alberta
Edmonton, AB
- Full-time
…secure and responsible adoption of artificial intelligence and machine learning technologies, including AI risk assessment, security review and guardrails for their…
Added 1 month ago
Product Development and Industrialization Lead
Global Traffic Group
St. Albert, AB
Build with AI: Design and integrate computer vision, artificial intelligence, and machine learning into cameras, sensors, radar, and embedded systems for traffic safety solutions.

Semtech

Senior Quality Process Development Engineer

Burlington, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Education: Bachelor’s degree
Experience: 5+ years of professional experience in software engineering, applied statistics, or data science, with a track record of shipping production statistical or machine-learning systems
Posting language: English
Posted: Sep 25, 2026

Original job description

Location: Burlington, Canada

Our Team

Semtech's Product Quality Engineering team is responsible for the quality and reliability of every wafer that leaves our fabs and OSAT partners on its way to customers. Our engineers thrive on solving complex technical challenges and driving improvements that directly impact product reliability and customer satisfaction including building a new generation of statistical and data-driven tools to detect, characterize, and triage wafer-level quality issues faster and more consistently than manual review alone can achieve. You'll join a team where mentorship, technical excellence, and knowledge sharing create a culture of growth, innovation, and tangible impact.

Job Summary

The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality processes along with our tool software partners. This role will define the technical development specifications for quality process improvement activities; including detection and pattern-recognition capabilities that distinguish genuine product and process issues from test-induced artifacts, and that support downstream risk assessment and mitigation for production wafer lots. The engineer will work closely with our tool development partners, internal AI team, Quality Engineering, Product Engineering, and the in-house wafer assessment tool development team to integrate these capabilities into existing production systems and will build learned pattern-recognition models from engineer-confirmed labels to complement rules-based statistical detection.

Responsibilities

Design and build statistical and algorithmic detection tools for wafer probe data - including test hardware integrity checks, software bin/yield outlier detection, parametric drift analysis, and reticle- and wafer-level spatial pattern classification - leveraging Semtech's existing statistical infrastructure (20%)
Assist on the development of learned pattern-recognition models that classify wafer-level failure patterns from engineer-confirmed examples, complementing the statistical tool set and supporting multi-pattern classification with confidence indicators. Risk-tiering, prioritization, and mitigation-proposal logic - including known-issue catalog matching, lot-level systemic risk reporting, and drafting of wafer-map modification scripts (20%)
Drive along with the tool software teams the buildup of relationship-analysis and reporting layer that reconciles detection outputs into a consolidated set of distinct issues, including LLM-driven contextualization using product and test/bin naming data, and structured, self-describing output for downstream risk assessment (20%)
Identify and drive development and requirements for AI process improvement initiatives among the quality engineering teams. (20%)
Partner with Quality Engineering, Product Engineering, and the AI development team to validate system performance against production fab lots, and produce documentation and knowledge-transfer materials that support long-term, in-house ownership of the system (20%)

Minimum Qualifications

Bachelor's degree in Electrical Engineering, Computer Science, Statistics, or a related field required; Master's or PhD preferred
5+ years of professional experience in software engineering, applied statistics, or data science, with a track record of shipping production statistical or machine-learning systems
Strong foundation in applied statistics, including outlier and anomaly detection, multiple-comparison correction, and hypothesis testing on production or sensor data
Hands-on experience building and deploying machine learning classification models, including training on labeled data and handling out-of-distribution/novel-category detection
Proficiency in Python (or equivalent) for data analysis and ML model development, and strong SQL or equivalent skills for working with large structured production datasets
Demonstrated ability to design structured, self-describing system outputs and to write clear technical documentation for engineering audiences

Desired Qualifications

Experience with semiconductor test data, wafer probe, or final test engineering, including familiarity with concepts such as software binning, parametric test limits, and wafer map analysis
Direct experience with a comparable semiconductor test-data / yield-analysis platform
Experience building LLM-driven analysis or reporting systems that incorporate domain context to scope and focus model output
Familiarity with spatial/statistical process control methods (e.g., Tukey-method outlier detection, radial/angular trend analysis, spatial clustering) as applied to manufacturing data
Prior experience working in a regulated or quality-critical manufacturing environment where system outputs feed formal disposition or non-conforming material review processes

The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.

All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

We may leverage Artificial Intelligence (AI) tools to enhance efficiency during candidate screening, assessment, and recruitment. Final hiring decisions remain with our Hiring Teams, not AI systems.

A reasonable estimate of the pay range for this position is $95,000CAD-$120,000CAD There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee’s total compensation package.

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More about this job

Responsibilities

Develop and validate statistical and machine-learning systems for detecting, classifying, and assessing risks related to wafer-level quality issues. Collaborate with engineering and software teams to integrate these capabilities into production systems, validate performance, and provide documentation for long-term internal ownership.

Requirements

A bachelor's degree in Electrical Engineering, Computer Science, Statistics, or a related field is required; a master's degree or PhD is preferred. Candidates need at least five years of relevant experience, strong applied statistics and machine-learning skills, proficiency in Python and SQL, and the ability to produce clear technical documentation.

Skills

Applied Statistics
Anomaly Detection
Machine Learning
Classification Models
Python
SQL
Wafer Probe Data Analysis
Semiconductor Test Engineering
Yield Analysis
Spatial Pattern Classification
Statistical Process Control
Large Language Models
Risk Assessment
Technical Documentation
Production Data Analysis

Visa sponsorship

Not detected in the job text

Keywords

Semiconductor Manufacturing
Product Quality Engineering
Wafer Probe Data
Statistical Analysis
Anomaly Detection
Hypothesis Testing
Machine Learning
Classification Models
Out-of-Distribution Detection
Python
SQL
Software Binning
Parametric Test Limits
Wafer Map Analysis
Yield Analysis
Spatial Clustering
Radial and Angular Trend Analysis
Statistical Process Control
Large Language Models
Risk Tiering
Lot-Level Risk Reporting
Production Data
Quality-Critical Manufacturing
Technical Documentation

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Jobs in Canada