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Added 2 mins ago
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Project Engineer
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- Full-time
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…project execution to meet client needs while ensuring safety and quality. Candidates should possess experience in analyzing and designing foundations and steel…
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…and Nova Scotia. We are seeking an Intermediate Structural Engineer to design, analyze, and support the delivery of structural projects across our building, institutional, industrial, and…
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Added 2 hours ago
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Intermediate Structural Engineer
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Added 2 hours ago
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- $110 to $150 CAD / hour
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This Project Engineer role serves as the single-point Owners Representative for a Great Lakes marine dock and terminal project. You will oversee engineering, design, construction, and…
Added 2 hours ago
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Reliability Engineer
Actalent
Oakville, ON
- $85 to $110 CAD / hour
- Contract
The Product Reliability Engineer leads reliability testing and analysis for complex, integrated products spanning hardware, firmware, software, and systems. This role develops reliability…
Added 2 hours ago
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SIEM Security Engineer
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Actalent
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Software Engineer
Actalent
Ottawa, ON
- $60 to $70 CAD / hour
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Sr Controls Engineer, Body Controls
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- $108,200 to $143,430 CAD / year
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Added 2 hours ago
Project Engineer
Kiewit
Calgary, AB · Edmonton, AB
The Project Engineer will support construction activities by planning, organizing and implementing those management duties (i.e. engineering interface, subcontract and materials management,…
Added 3 hours ago
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Added 3 hours ago
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Electrical Controls Engineer
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Added 3 hours ago
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Senior Engineer - Buildings
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- $110,480 to $151,910 CAD / year
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Added 3 hours ago
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Added 3 hours ago
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Title: Data Engineer - Microsoft Fabric & Azure Data Platform
Added 3 hours ago
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- $110,480 to $151,910 CAD / year
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Actalent

Reliability Engineer

Oakville, ON, Canada

$85 to $110 CAD / hour · Contract

Apply About employer

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Job details

Pay: $85 to $110 CAD / hour
Job type: Contract
Apply by: Dec 5, 2026
Posting language: English · French
Posted: Nov 5, 2026

Original job description

English section of this bilingual listing.

Job Title: Product Reliability Engineer

Job Description

The Product Reliability Engineer leads reliability testing and analysis for complex, integrated products spanning hardware, firmware, software, and systems. This role develops reliability strategies, identifies potential failure modes, conducts comprehensive testing, and applies advanced statistical analysis to ensure products perform safely and reliably throughout their expected life, with a strong focus on innovative medical devices that directly impact patient care.

Responsibilities

Develop and execute comprehensive product reliability test plans across hardware, firmware, software, and integrated systems.
Lead accelerated life testing, stress testing, endurance testing, environmental testing, and long-duration reliability testing to characterize product performance and durability.
Perform detailed failure analysis and root cause investigations to identify, understand, and correct reliability issues.
Apply reliability statistics and life-data analysis methods, including Weibull analysis, failure rate modeling, confidence target determination, and sample size calculations.
Develop or lead automated test systems, instrumentation, and data acquisition solutions to support efficient and repeatable reliability testing.
Use reliability block diagrams (RBD) and reliability prediction/allocation techniques to model system reliability and guide design decisions.
Conduct reliability demonstration testing to validate that products meet defined reliability targets and requirements.
Apply Arrhenius, Eyring, Coffin-Manson, and other acceleration models to predict life and understand failure mechanisms under varying stress conditions.
Design and execute fault injection and automated regression testing to evaluate robustness and software reliability.
Analyze and leverage CAPA and field reliability data to drive continuous improvement in product reliability and corrective actions.
Contribute to cloud and software reliability activities, ensuring reliable performance of connected and software-enabled features.
Partner closely with Engineering, Quality, Manufacturing, and Service teams to improve product reliability activities through design verification, design transfer, and sustaining engineering.
Support design verification and design transfer processes to ensure reliability requirements are embedded and maintained throughout the product lifecycle.
Communicate reliability findings, risks, and recommendations clearly to cross-functional stakeholders and help guide design and process improvements.

Essential Skills

Strong experience in reliability engineering for complex products spanning hardware, firmware, software, and integrated systems.
Hands-on expertise in life-data analysis and reliability statistics, including Weibull analysis, failure rate estimation, confidence target setting, and sample sizing.
Proven ability to develop and execute product reliability test plans, including accelerated life, stress, endurance, environmental, and long-duration testing.
Experience with reliability demonstration testing and use of reliability block diagrams (RBD) for system-level modeling.
Proficiency in developing or leading automated test systems, instrumentation, and data acquisition solutions for reliability testing.
Knowledge of reliability prediction and allocation methods to guide design and architecture decisions.
Familiarity with Arrhenius, Eyring, Coffin-Manson, and other acceleration models used in reliability analysis.
Experience performing failure analysis and root cause investigations for complex hardware and software systems.
Experience in medical devices or similarly regulated, safety-critical products.
Ability to collaborate effectively with Engineering, Quality, Manufacturing, and Service teams on design verification, design transfer, and sustaining engineering activities.

Additional Skills & Qualifications

Experience with test automation and data acquisition tools and frameworks.
Knowledge of IEC standards and regulatory considerations relevant to medical devices and reliability engineering.
Experience with software reliability and cloud reliability for connected products.
Experience in automated regression testing and fault injection techniques for robustness validation.
Familiarity with CAPA processes and analysis of field reliability data to drive corrective and preventive actions.
Experience supporting design transfer and design verification with a focus on reliability requirements.
Ability to work on multidisciplinary engineering teams and contribute across the product lifecycle.
Strong analytical and problem-solving skills with a passion for tackling challenging reliability problems.
Interest in working on innovative, complex medical devices that directly impact patient care and global health outcomes.
Motivation to grow within an organization focused on innovation, technical ownership, and career development.

Job Type & Location

This is a Contract position based out of Oakville, ON.

Pay And Benefits

The pay range for this position is $85.00 - $110.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Job Type & Location

This is a Contract position based out of Oakville, ON.

Workplace Type

This is a fully onsite position in Oakville,ON.

À propos d'Actalent

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI):We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Read the full bilingual original

Develop and execute comprehensive product reliability test plans across hardware, firmware, software, and integrated systems.
Lead accelerated life testing, stress testing, endurance testing, environmental testing, and long-duration reliability testing to characterize product performance and durability.
Perform detailed failure analysis and root cause investigations to identify, understand, and correct reliability issues.
Apply reliability statistics and life-data analysis methods, including Weibull analysis, failure rate modeling, confidence target determination, and sample size calculations.
Develop or lead automated test systems, instrumentation, and data acquisition solutions to support efficient and repeatable reliability testing.
Use reliability block diagrams (RBD) and reliability prediction/allocation techniques to model system reliability and guide design decisions.
Conduct reliability demonstration testing to validate that products meet defined reliability targets and requirements.
Apply Arrhenius, Eyring, Coffin-Manson, and other acceleration models to predict life and understand failure mechanisms under varying stress conditions.
Design and execute fault injection and automated regression testing to evaluate robustness and software reliability.
Analyze and leverage CAPA and field reliability data to drive continuous improvement in product reliability and corrective actions.
Contribute to cloud and software reliability activities, ensuring reliable performance of connected and software-enabled features.
Partner closely with Engineering, Quality, Manufacturing, and Service teams to improve product reliability activities through design verification, design transfer, and sustaining engineering.
Support design verification and design transfer processes to ensure reliability requirements are embedded and maintained throughout the product lifecycle.
Communicate reliability findings, risks, and recommendations clearly to cross-functional stakeholders and help guide design and process improvements.

Essential Skills

Strong experience in reliability engineering for complex products spanning hardware, firmware, software, and integrated systems.
Hands-on expertise in life-data analysis and reliability statistics, including Weibull analysis, failure rate estimation, confidence target setting, and sample sizing.
Proven ability to develop and execute product reliability test plans, including accelerated life, stress, endurance, environmental, and long-duration testing.
Experience with reliability demonstration testing and use of reliability block diagrams (RBD) for system-level modeling.
Proficiency in developing or leading automated test systems, instrumentation, and data acquisition solutions for reliability testing.
Knowledge of reliability prediction and allocation methods to guide design and architecture decisions.
Familiarity with Arrhenius, Eyring, Coffin-Manson, and other acceleration models used in reliability analysis.
Experience performing failure analysis and root cause investigations for complex hardware and software systems.
Experience in medical devices or similarly regulated, safety-critical products.
Ability to collaborate effectively with Engineering, Quality, Manufacturing, and Service teams on design verification, design transfer, and sustaining engineering activities.

Additional Skills & Qualifications

Experience with test automation and data acquisition tools and frameworks.
Knowledge of IEC standards and regulatory considerations relevant to medical devices and reliability engineering.
Experience with software reliability and cloud reliability for connected products.
Experience in automated regression testing and fault injection techniques for robustness validation.
Familiarity with CAPA processes and analysis of field reliability data to drive corrective and preventive actions.
Experience supporting design transfer and design verification with a focus on reliability requirements.
Ability to work on multidisciplinary engineering teams and contribute across the product lifecycle.
Strong analytical and problem-solving skills with a passion for tackling challenging reliability problems.
Interest in working on innovative, complex medical devices that directly impact patient care and global health outcomes.
Motivation to grow within an organization focused on innovation, technical ownership, and career development.

Work Environment

The role is based in a brand-new facility in Oakville featuring a modern, collaborative engineering environment. This is a fully onsite position, five days per week, providing hands-on access to products, reliability test equipment, and cross-functional teams. The setting supports close collaboration with engineering, quality, manufacturing, and service groups, enabling efficient testing, rapid feedback, and direct involvement across the product lifecycle in a contemporary, well-equipped workspace.

Job Type & Location

This is a Contract position based out of Oakville, ON.

Pay And Benefits

The pay range for this position is $85.00 - $110.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Job Type & Location

This is a Contract position based out of Oakville, ON.

Workplace Type

This is a fully onsite position in Oakville,ON.

À propos d'Actalent

Actalent est un leader mondial dans les services dingénierie et de sciences ainsi que dans les solutions de talents. Nous aidons des entreprises visionnaires à faire progresser leurs initiatives dingénierie et de science grâce à laccès à des experts spécialisés qui favorisent léchelle, linnovation et la rapidité de mise sur le marché. Avec un réseau de près de 20 000 consultants et 5 000 clients à travers les États-Unis, le Canada, lAsie et lEurope, Actalent dessert de nombreuses entreprises du Fortune 500. Nous sommes fiers dêtre lune des 500 meilleures firmes de conception de lEngineering News-Record (ENR) pour nos services de conception en ingénierie et un lauréat du prix ClearlyRated Best of Staffing® tant pour le service client que pour les talents.

Actalent est un employeur souscrivant au principe de légalité des chances et accepte toutes les candidatures sans tenir compte de la race, du sexe, de lâge, de la couleur, de la religion, des origines nationales, du statut dancien combattant, dun handicap, de lorientation sexuelle, de lidentité sexuelle, des renseignements génétiques ou de toute autre caractéristique protégée par la loi.

Si vous souhaitez faire une demande daccommodement raisonnable, tel que la modification ou lajustement du processus de demande demploi ou dentrevue à cause dun handicap, veuillez envoyer un courriel à actalentaccommodation@actalentservices.com pour connaître dautres options daccommodement.

Ordonnance sur légalité des chances de San Francisco: Conformément à lOrdonnance sur légalité des chances de San Francisco, pour tous les postes situés dans la ville et le comté de San Francisco, nous examinerons les candidatures des personnes qualifiées ayant un casier judiciaire ou des antécédents criminels.

Utilisation de lintelligence artificielle (IA): Nous pouvons utiliser lintelligence artificielle (IA) pour soutenir certaines étapes de notre processus dembauche, notamment la recherche, la présélection et lévaluation des candidatures. LIA aide à analyser les candidatures et les qualifications, mais les décisions finales sont prises par notre équipe de recrutement. En soumettant votre candidature, vous reconnaissez et acceptez que celle-ci puisse être examinée à laide doutils dIA.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI):We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Apply About employer

More about this job

Responsibilities

Develop and lead reliability strategies, test plans, accelerated and environmental testing, failure investigations, and statistical analyses for complex medical devices spanning hardware, firmware, software, and integrated systems. Use reliability models and field data to validate product targets, guide design improvements, and collaborate with engineering, quality, manufacturing, and service teams throughout verification, transfer, and sustaining activities.

Requirements

The role requires substantial experience in reliability engineering for complex, safety-critical products, including hands-on expertise in reliability statistics, life-data analysis, test planning, failure analysis, and system-level reliability modeling. Candidates should be familiar with medical-device or similarly regulated environments and able to collaborate across engineering, quality, manufacturing, and service; experience with automation, software and cloud reliability, fault injection, CAPA, and relevant IEC standards is also valued.

Skills

Product Reliability Engineering
Reliability Testing
Weibull Analysis
Life-Data Analysis
Failure Analysis
Root Cause Investigation
Accelerated Life Testing
Reliability Statistics
Reliability Demonstration Testing
Reliability Block Diagrams
Automated Test Systems
Data Acquisition
Reliability Prediction and Allocation
Fault Injection
Automated Regression Testing
CAPA and Field Reliability Analysis

Visa sponsorship

Not detected in the job text

Keywords

Product Reliability Engineering
Medical Devices
Hardware
Firmware
Software
Integrated Systems
Accelerated Life Testing
Stress Testing
Endurance Testing
Environmental Testing
Long-Duration Reliability Testing
Weibull Analysis
Failure Rate Modeling
Confidence Targets
Sample Size Calculations
Reliability Block Diagrams
Reliability Prediction
Reliability Allocation
Arrhenius Model
Eyring Model
Coffin-Manson Model
Fault Injection
Automated Regression Testing
CAPA
Field Reliability Data
Cloud Reliability
Design Verification
Design Transfer
IEC Standards
Root Cause Analysis

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