The posting
We are seeking an experienced Senior Product Quality & Reliability Engineer to drive product and software quality across design, development, New Product Introduction, manufacturing and post-launch improvement activities. This is a technical, hands-on role covering hardware, software, electronics and manufacturing quality. You will work closely with Engineering, Manufacturing, Service, Supplier Quality and other global teams to identify risks early, improve product reliability and ensure successful product launches. You will establish and execute product quality strategies, lead risk-management and reliability activities, and apply quality engineering principles throughout the product lifecycle. You will also work with engineering, data and digital teams to identify opportunities where Artificial Intelligence, Machine Learning, analytics and automation can improve testing, defect detection, failure prediction and manufacturing productivity. The successful candidate will be passionate about moving quality earlier in the development lifecycle and building robust, scalable and sustainable quality processes.
Key Responsibilities:
1.Product Quality and Reliability
- Develop and execute product and software quality strategies across New Product Introduction, continuation engineering, customer issues and improvement projects.
- Participate in design, architecture, code, drawing, specification, verification and validation reviews.
- Identify product, software, process and reliability risks early in the development lifecycle.
- Ensure products and software meet established standards for quality, reliability, usability, performance and manufacturability.
- Define and manage Critical-to-Quality characteristics and measurable quality requirements.
- Apply quality engineering methodologies such as APQP, Design for Six Sigma, Design for Reliability and FMEA.
- Prepare and present regular updates on product quality, reliability risks, corrective actions and project readiness.
2.Verification, Validation and Failure Analysis
- Develop and execute product verification, validation and reliability qualification plans.
- Plan, conduct and report reliability testing, including Highly Accelerated Life Testing and Ongoing Reliability Testing.
- Investigate product, module, software and reliability anomalies.
- Perform hands-on electrical, mechanical, system and manufacturing failure analysis.
- Lead Root Cause Failure Analysis and structured problem-solving activities.
- Drive corrective and preventive actions to resolve systemic product and process issues.
- Verify the effectiveness and sustainability of implemented corrective actions.
3.NPI and Manufacturing Quality
- Ensure product and manufacturing-process readiness for mass production.
- Drive quality planning and risk mitigation throughout New Product Introduction, product transfer and production ramp-up.
- Partner with Engineering, Manufacturing, Service and suppliers to improve product and process robustness.
- Review manufacturing assembly, testing, inspection and control processes.
- Identify quality trends, process variation and emerging manufacturing risks through data analysis.
- Support flawless product launches by ensuring appropriate quality controls, specifications, testing and escalation mechanisms are in place.
- Support the resolution of production, supplier and customer-quality issues.
4.AI, Analytics and Digital Quality
- Partner with data, engineering and digital teams to identify AI, analytics and automation opportunities across engineering, testing, quality and manufacturing workflows.
- Develop high-value use cases such as intelligent test optimisation, anomaly detection, predictive quality and failure-pattern recognition.
- Use engineering, manufacturing and test data to improve defect detection, test coverage, process capability and decision-making.
- Support the development of automated quality reports, dashboards and digital workflows.
- Convert quality and engineering challenges into scalable analytics and automation solutions.
- Support data validation, model validation and performance monitoring for AI-enabled quality solutions.
- Deliver measurable improvements in quality, productivity, test efficiency and risk prediction.
5.Quality Systems and Continuous Improvement
- Support the organisation’s Quality Management System and ISO 9001 requirements.
- Participate in or support internal, external, product and process audits.
- Review quality procedures, work instructions, control plans and supporting documentation.
- Lead continuous-improvement and standardisation initiatives across the organisation.
- Promote best practices in quality engineering, reliability, testing and risk management.
- Manage project barriers and escalate significant quality or reliability risks when necessary.
- Work effectively across functions, countries and cultures with urgency, integrity and accountability.
- Comply with all company policies, values, quality standards and regulatory requirements.
Essential Requirements:
- Bachelor’s degree in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Mechanical Engineering or a related technical discipline.
- At least five years of experience in product quality, design quality, reliability engineering, manufacturing quality or software quality.
- Experience supporting electronics products, embedded systems, software development or technology manufacturing.
- Practical experience across product design, development, verification, validation and manufacturing.
- Broad technical knowledge and experience working with Engineering, Manufacturing, Service and supplier teams.
- Good understanding of electronics manufacturing, assembly and testing processes.
- Working knowledge of product-development lifecycles and risk-based quality practices.
- Experience with quality tools and methodologies such as FMEA, 8D, CAPA, Root Cause Analysis, APQP and statistical process control.
- Experience supporting or auditing an ISO 9001 Quality Management System within an electronics, engineering or manufacturing environment.
- Strong analytical, problem-solving and technical investigation skills.
- Ability to interpret engineering drawings, product specifications, test results and manufacturing data.
- Strong written and verbal communication skills.
- Demonstrated ownership, accountability, integrity and commitment to quality delivery.
Preferred Qualifications:
- Knowledge of the Software Development Life Cycle and Agile methodologies such as Scrum, SAFe or Lean Startup.
- Experience with APQP, Design for Six Sigma, Design for Reliability or reliability qualification methodologies.
- Advanced experience with statistical analysis, data visualisation and quality-analysis tools.
- Six Sigma Black Belt, Reliability Engineering, ASQ Certified Software Quality Engineer or a similar professional certification.
- Hardware design, product validation or manufacturing experience within the automotive, aerospace, semiconductor, industrial or consumer-electronics sectors.
- Experience with CMMI or software-quality frameworks.
- Experience applying AI, Generative AI, Machine Learning, analytics or digital automation within engineering, testing, quality or manufacturing.
- Familiarity with data pipelines, engineering data, model validation and scalable solution deployment.
- Experience with programming, scripting or analytics tools such as Python, SQL, Power BI, Tableau, MATLAB, Minitab or equivalent platforms.
To apply,simply click the "Apply" button or send your updated profile to [email protected]
EA Licence No.:18S9405 / EA Reg. No.:R1330864
Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.
