Jobs in Canada

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Added 1 month ago
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Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 1 month ago
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Senior Quality Process Development Engineer
Semtech
Burlington, ON · CAN - 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
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel,…
Added 1 month ago
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Principal AI Engineer
RBC
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 1 month ago
CT
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
- Full-time
Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
Added 1 month ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 CAD / year
- Full-time
- Remote
…engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
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
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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 Data & AI Architect
Deloitte
Toronto, ON
- Full-time
Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on.
Added 1 month ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer II to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 1 month ago
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Senior Cloud Engineer
Vertage Global
Ottawa, ON
- Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 1 month ago
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Cloud Engineer
Morson Edge (Canada)
Oakville, ON
- $95,000 to $135,000 CAD / year
- Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 1 month ago
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[New Grad] Applied AI Engineer
Ranger AI
Canada
- Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 1 month ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
…Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations…
Added 1 month ago
AI
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
- Full-time
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 month ago
RB
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
- Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 1 month ago
XI
Principal Data Engineer
Xplore Inc
Markham, ON
- Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 1 month ago
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Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
- $184,000 to $272,000 USD / year
- Full-time
Build and evolve our training infrastructure on Kubernetes with Infrastructure - GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow…
Added 1 month ago
RA
Applied AI Engineer
Ranger AI
Canada
- Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 1 month ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 month ago
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Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
- Full-time
…across diverse technical teams (data scientists, ML engineers, platform engineers, payments domain experts, infrastructure teams, and business…
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 month ago
UR
AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 1 month ago
UR
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
- Full-time
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
UR
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team supporting transformative AI initiatives. This role is focused on designing,…

Semtech

Senior Quality Process Development Engineer

Burlington, ON, Canada
CAN - Burlington, ON, Canada

Full-time

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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.

Apply on semtech.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The Senior Quality Process Development Engineer will design and implement statistical and machine-learning systems to improve wafer-level quality and reliability. They will collaborate with cross-functional teams to integrate these tools into production systems and drive AI-based process improvement initiatives.

Requirements

Candidates must hold at least a bachelor's degree in Electrical Engineering, Computer Science, Statistics, or a related field. A minimum of 5 years of professional experience in software engineering, applied statistics, or data science is required, along with proficiency in Python and SQL.

Skills

Applied statistics
Machine learning
Python
SQL
Data science
Wafer probe
Yield analysis
Anomaly detection
Hypothesis testing
Pattern recognition
Semiconductor testing
Statistical process control
Data analysis
Technical documentation
Risk assessment

Visa sponsorship

Not detected in the job text

Keywords

Semiconductor
Wafer-level quality
Statistical infrastructure
Machine learning models
Outlier detection
Parametric drift analysis
Spatial pattern classification
Risk-tiering
LLM-driven contextualization
Production fab
Test hardware integrity
Software binning
Yield analysis platform
Tukey-method
Radial/angular trend analysis
Spatial clustering
Non-conforming material review
Data-driven tools
Pattern-recognition
Process improvement

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Jobs in Canada