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Added 26 mins ago
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Reliability Engineering
Natus Medical Incorporated
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- Full-time
We are seeking an experienced Reliability Engineer to lead product reliability activities and help ensure our neurology medical devices and applications consistently deliver their intended…
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Reliability Engineering
Natus
Oakville, ON
We are seeking an experienced Reliability Engineer to lead product reliability activities and help ensure our neurology medical devices and applications consistently deliver their intended…
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Natus Medical Incorporated

Reliability Engineering

Oakville, ON, Canada

The expected annual base salary for this position is $130-150K CAD. · Full-time

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Job details

Pay: The expected annual base salary for this position is $130-150K CAD.
Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

FOR MORE THAN 80 YEARS, Natus has been working in collaboration with clinicians to deliver industry-leading neuro solutions that help providers more easily make sense of the body’s signals.

Engineered with input from those who have lived the care experience, our technology simplifies complex processes and improves accuracy and efficiency. There is a role for everyone who wants to be part of the innovative solutions at Natus Neuro.

About The Opportunity

Location: Hybrid: Oakville, Canada

At Natus Medical, product reliability is essential to delivering medical technology that healthcare professionals can depend on.

We are seeking an experienced Reliability Engineer to lead product reliability activities and help ensure our neurology medical devices and applications consistently deliver their intended performance throughout their expected service life.

This is a highly collaborative, technically influential role spanning mechanical, electrical, firmware, software, and integrated systems. You'll partner closely with Engineering, Verification Test, Quality, Service, and Manufacturing teams to transform product requirements, potential failure modes, and real-world field feedback into measurable reliability objectives, effective testing strategies, and long-term product service-life strategies.

From early prototype development through formal Reliability Verification, Design Transfer, and commercialization, you'll take ownership of the methodologies, planning, analysis, and technical evidence that support product reliability.

If you're passionate about solving complex engineering challenges, improving product performance, and building reliability into every stage of product development, this is an opportunity to make a meaningful impact.

What You'll Do

Lead Reliability Strategy & Cross-Functional Collaboration

Lead cross-functional product reliability planning across Hardware, Firmware, Software, Systems Engineering, Quality, Manufacturing, and Service teams.
Translate expected use cases and corner cases, product requirements, Design Failure Mode and Effects Analysis (dFMEA), expected product service life, and historical data (lessons learned, manufacturing, service, and field complaints) into measurable reliability objectives for New Product Introductions (NPI).
Develop and maintain product reliability test strategies, equipment requirements, acceptance criteria, and sample sizes aligned with prototype build plans, supported by corresponding statistical confidence and reliability targets.

Develop Advanced Reliability Testing & Validation Methods

Lead the development of standardized and automated reliability test methods and systems to evaluate hardware durability (environmental, mechanical, and electrical stresses), signal quality and data integrity, interface reliability, long-duration and endurance performance, fault injection and recovery, and system-level robustness across hardware, firmware, software applications, and cloud infrastructure.
Develop and apply appropriate accelerated testing models for electro-mechanical systems and strategies to demonstrate expected product service life.

Turn Reliability Insights Into Product Improvements

Support failure analysis and root-cause investigations, ensuring findings are translated into DfX process improvements across requirements, procurement, design, testing, or manufacturing.
Partner with Service teams to develop and maintain product Service Plans based on reliability outcomes, including expected failure modes, maintenance and inspection requirements, service intervals, repair/replacement strategies, and service-life considerations.
Lead formal, program-level Reliability and Service Technical Reviews.

Shape Reliability Excellence Across the Organization

Provide technical leadership in developing and advancing organization-wide reliability programs, establishing standardized methodologies, processes, and best practices while driving cross-functional adoption throughout the product lifecycle.

What You'll Bring

Required Qualifications

Education & Professional Experience

Bachelor’s degree in Mechatronics Engineering, Reliability Engineering, Electrical Engineering, Computer Science, Systems Engineering, or a related engineering discipline.
7+ years of experience in product reliability engineering for complex, multidisciplinary products incorporating hardware, firmware, software, and system-level interfaces in industries such as medical devices, automotive, aerospace, or consumer electronics.

Reliability Engineering Expertise

Strong knowledge and practical application of reliability standards, including IEC 62308 and IEC 61078, and reliability engineering principles and methodologies, including:
- Bathtub curve, failure-rate characteristics and metrics (FIT, operating hours, MTTF, and MTBF).
- Probability distributions and reliability functions.
- Weibull analysis and life-data analysis.
- Reliability block diagrams and reliability allocation.
- Reliability prediction and expected service-life estimation.
- Confidence and reliability (C/R) intervals determination.
Experience selecting and applying accelerated testing models, such as Arrhenius, Eyring, Coffin–Manson, inverse power law, or other physics-of-failure models appropriate to the identified failure mechanisms.
Strong multidisciplinary engineering background with the ability to understand, challenge, and guide reliability engineering and test activities.
Demonstrated experience developing and executing product Reliability Plans and risk-based reliability strategies throughout the product development lifecycle.

Testing, Automation & Technical Investigation

Experience defining and leading long-duration, stress, endurance, environmental, fault-injection, robustness, and system-level reliability testing.
Hands-on experience using hardware laboratory instruments, including function generators, oscilloscopes, logic analyzers, data acquisition systems, and spectrum/signal analyzers.
Experience developing automated test systems, including test scripts for embedded firmware and software applications, to support stress testing, long-duration testing, corner-case evaluation, and failure recovery.
Demonstrated experience leading failure analysis and root-cause investigations involving multidisciplinary and intermittent product failures.

Technical Leadership & Problem-Solving

Ability to interpret complex technical and statistical results and translate them into engineering decisions, risk assessments, and actionable recommendations.
Strong hands-on technical capabilities and demonstrated ability to lead cross-functional technical investigations and influence Design for Reliability (DfR) engineering decisions and service strategies without direct authority.

What Will Set You Apart

Preferred Qualifications

Experience applying advanced firmware/software reliability methods, including automated regression testing, resource and stress testing, fault injection, error handling and recovery, and hardware/firmware/software (HW/FW/SW) integration testing. Familiarity with development and test management tools such as Jama, Jira, Git, and GitHub.
Experience testing the reliability and resilience of software applications (e.g., Android) or cloud infrastructure (e.g., Microsoft Azure), including network interruption, service restart and recovery, data synchronization, storage/database failures, backup and rollback, or similar resilience testing.

Make an Impact With Natus Medical

This is an opportunity to bring your technical expertise, problem-solving skills, and leadership to complex medical technology that needs to perform reliably throughout its service life.

You'll have the opportunity to influence product design, strengthen testing methodologies, collaborate with multidisciplinary engineering teams, and help establish reliability practices that support both current and future products.

Ready to help shape the reliability of medical technology? We encourage you to apply.

Canada Pay Transparency Clause

This posting is for an existing vacancy. The expected annual base salary for this position is $130-150K CAD. This role may also be eligible for a company bonus or commission plan, as applicable to the position. Canadian work experience is not required. Automated or artificial intelligence–assisted tools may be used in the screening or assessment of applicants. Candidates who participate in an interview will be advised whether a hiring decision has been made within 45 days of the final interview, in accordance with applicable law.

Compensation and Benefits: Along with a competitive salary and bonus structure, Natus offers a comprehensive healthcare package that starts on your first day of employment, paid statutory holidays, 3 weeks’ vacation and 7 sick days, RRSP Match, tuition reimbursement program eligibility and more...

Be the People part of the Neuro Solution. Apply Today.

EEO Statement: Natus Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. This posting is for an existing vacancy.

Accessibility: Natus is committed to creating an inclusive environment that accommodates all individuals, including those with disabilities. We support the goals of the Accessibility for Ontarians with Disabilities Acts (AODA) and have established policies, procedures and practices which adhere to the accessibility standards set out in the AODA. Should you require any accommodation throughout the recruitment process please do not hesitate to contact our Human Resources Department.

#natus #natuscareers #oakvillejobs

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More about this job

Responsibilities

Lead cross-functional reliability planning and develop test strategies, methods, and systems for medical devices and integrated hardware, firmware, software, and cloud products. Analyze failures and reliability data, guide product and service-life improvements, and establish standardized reliability practices across the product lifecycle.

Requirements

Requires a bachelor's degree in a relevant engineering or computer science discipline and at least seven years of product reliability engineering experience with complex multidisciplinary products. Candidates should have practical knowledge of reliability standards and statistical methods, accelerated testing, automated and system-level testing, laboratory instruments, and cross-functional failure investigations.

Skills

Product Reliability Engineering
Reliability Planning
Reliability Testing
Failure Analysis
Root-Cause Investigation
Weibull Analysis
Accelerated Life Testing
Reliability Prediction
Statistical Analysis
Hardware Testing
Firmware Testing
Software Testing
Test Automation
Fault Injection
Design for Reliability
Cross-Functional Technical Leadership

Benefits

Company Bonus
Healthcare Package
Paid Statutory Holidays
Three Weeks' Vacation
Seven Sick Days
RRSP Match
Tuition Reimbursement

Visa sponsorship

Not detected in the job text

Keywords

Medical Devices
Reliability Engineering
IEC 62308
IEC 61078
Bathtub Curve
Failure Rate
FIT
MTTF
MTBF
Weibull Analysis
Life-Data Analysis
Reliability Block Diagrams
Reliability Allocation
Reliability Prediction
Confidence and Reliability Intervals
Arrhenius Model
Eyring Model
Coffin–Manson Model
Inverse Power Law
Physics of Failure
Design Failure Mode and Effects Analysis
Accelerated Testing
Fault Injection
Automated Regression Testing
Oscilloscopes
Logic Analyzers
Jama
Jira
Git
Microsoft Azure

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