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Added 29 days ago
R
Senior Cloud Security Engineer ( Global Security)
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Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python for developing AWS security solutions.
Added 29 days ago
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Software Development Engineer (Full Stack) - Evisort AI
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Vancouver, BC · Canada, BC, Vancouver
- Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 29 days ago
C
Photonic Systems Test Technician
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Ottawa, ON
- $21.82 to $34.9 CAD / hour
- Full-time
Experience with automated test environments or scripting tools such as Python.
Added 29 days ago
SJ
Senior Full-Stack Developer
St. Joseph Communications
Toronto, ON
- $100,000 to $120,000 CAD / year
Our engineering team is seeking a Senior Full-Stack Developer to play a key role in the engineering function for our Media organization. In this role you will be responsible for maintaining…
Added 29 days ago
OF
Senior Application & Systems Developer (Microsoft Dynamics 365)
Ombudsman For Banking Services and Investments
Toronto, ON
- Full-time
Job Title: Senior Application & Systems Developer
Added 29 days ago
DC
Developer (1 Year Contract)
DATA Communications Management Corp
Mississauga, ON
- $65,149 to $81,436 CAD / year
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As a Developer, you’ll help build, test, and support data-driven output programs for clients across banking, financial services, utilities, insurance, and pension sectors. You'll gain…
Added 29 days ago
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Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Strong SQL and Python, with experience building distributed data processing at scale (Spark preferred).
Added 29 days ago
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Senior Data Solutions Engineer
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Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Design and extend AI-assisted projects using Python, Jupyter notebooks, PowerShell, and alternative AI tools, with clear human validation and approval points.
Added 29 days ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 29 days ago
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Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
Added 29 days ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
Represent Featherless technically at conferences, meetups, and developer events
Added 29 days ago
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Senior Manager Cyber Cloud Security and AI
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
- Full-time
AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow, PyTorch)
Added 29 days ago
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Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 29 days ago
TC
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
- Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
Added 29 days ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
Added 29 days ago
TG
Full Stack Developer (PHP/JavaScript)
TMX Group
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
This position is for an experienced Web Developer with a strong focus on front-end interface design to support TMX Newsfile's core platforms. Working directly within our Scrum team, you…
Added 29 days ago
S
Senior Quality Process Development Engineer
Semtech
Burlington, ON
- Full-time
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
Added 29 days ago
D
Senior Consultant - GCP Data & AI Architect
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Toronto, ON
- Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 29 days ago
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Senior Consultant - GCP Agent Platform Architect
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Toronto, ON
- Full-time
Proficient in Python; comfortable with at least one of TypeScript / Java / Go for agent tools and services.
Added 29 days ago
I
AI Engineer
Insight
Remote, Canada
- Full-time
- Remote
Strong C#/.NET skills building production APIs and services, with the ability to work in Python where the AI tooling demands it.
Added 29 days ago
I
Data Engineer Sr
Insight
Toronto, ON
- Full-time
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 29 days ago
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Software Development Engineer - Agent Factory
Workday
Vancouver, BC
- Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 29 days ago
T
Head of Machine Learning
Toast
Vancouver, BC
- $160,000 to $180,000 USD / year
- Full-time
Strong proficiency in Python, with hands-on experience using PyTorch and Scikit-learn
Added 29 days ago
VG
System Engineer
Vertage Global
ON · Ontario, Canada
- Contract
Added 29 days ago
Data Scientist Co-op
Moment Energy
Surrey, BC
Document methodologies, models, and results through well-structured Python code, reports, and presentations

Semtech

Senior Quality Process Development Engineer

Burlington, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 25, 2026
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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