Product & Quality Engineer (Electronics / Office Hours)

EnviroDynamics Solutions Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

EnviroDynamics Solutions Pte Ltd is seeking a seasoned Quality Engineer to lead QA strategy for new product introductions, sustaining engineering, and cross-functional improvement projects. You will drive risk-based quality activities across design, manufacturing and service, ensuring robust processes and timely issue resolution.

The role emphasizes hands-on failure analysis, CAPA, and ISO 9001 audits, with a strong focus on collaboration with engineering, manufacturing and suppliers to deliver

Qualifications

• Min. Bachelor's Degree in Electrical & Electronics Engineering, Computer Engineering, Computer Science or related disciplines.
• Min 5-6 years' experience in Quality Engineering and/or Design within electronics or software development.
• Min. 4-5 years of experience in both external and internal customer-facing roles, with strong stakeholder management and communication skills.
• Strong understanding of electronic manufacturing, assembly and test processes.
• Experience with product development, quality tools and risk-based quality practices.
• Experience supporting or auditing ISO 9001 quality systems.
• Strong hands-on troubleshooting and failure analysis capabilities.
• Proven ability to collaborate across Engineering, Manufacturing, Service and global teams.

Responsibilities

• Lead product/software quality strategy across NPI, sustaining engineering, customer issues and improvement projects with internal & external stakeholders.
• Participate in design, code, verification and validation reviews to identify risks and ensure quality requirements are met.
• Drive CTQ, APQP, DFSS, DfR and FMEA activities to strengthen product and process robustness.
• Plan and execute reliability testing, including HALT and ORT, and conduct hands-on electrical/mechanical failure analysis.
• Lead root cause analysis, corrective/preventive actions (CAPA) and cross-functional problem resolution.
• Ensure product and process readiness for mass production and successful product launches.
• Partner with Engineering, Manufacturing, Service and Suppliers to drive risk mitigation and continuous improvement.
• Support ISO 9001 audits and Quality Management System requirements.
• Identify and implement AI, analytics and automation opportunities across design, testing, quality and manufacturing.
• Translate engineering and process data into scalable solutions that improve defect detection, test efficiency, quality and productivity.
• Provide regular project quality updates, escalated risks and drive timely resolution.

Skills

Quality engineering

Design validation

Stakeholder management

Troubleshooting

Process improvement

Education

Bachelor's Degree in Electrical & Electronics Engineering

Tools

FMEA

APQP

HALT/ORT testing

ISO 9001

Job description

Company Profile

Our client is aglobal MNC leader in industrial automation and digital transformation, helping manufacturers worldwide build smarter, more connected and efficient operations.

With a presence across100+ countries with more than 20K employees worldwide, the organisation delivers advanced solutions acrossindustrial automation, robotics, software, AI, control systems and smart manufacturing, serving major industries including semiconductor, automotive, life sciences, food & beverage and energy.

With the manufacturing industry rapidly moving towardssmart factories, industrial AI and autonomous operations, our client is at the forefront of this transformation, integrating automation, data and digital technologies to help customers improve productivity, quality, and operational resilience.

Key Responsibilities

• Lead product/software quality strategy across NPI, sustaining engineering, customer issues and improvement projects with internal & external stakeholders.

• Participate in design, code, verification and validation reviews to identify risks and ensure quality requirements are met.

• Drive CTQ, APQP, DFSS, DfR and FMEA activities to strengthen product and process robustness.

• Plan and execute reliability testing, including HALT and ORT, and conduct hands‑on electrical/mechanical failure analysis.

• Lead root cause analysis, corrective/preventive actions (CAPA) and cross-functional problem resolution.

• Ensure product and process readiness for mass production and successful product launches.

• Partner with Engineering, Manufacturing, Service and Suppliers to drive risk mitigation and continuous improvement.

• Support ISO 9001 audits and Quality Management System requirements.

• Identify and implement AI, analytics and automation opportunities across design, testing, quality and manufacturing.

• Translate engineering and process data into scalable solutions that improve defect detection, test efficiency, quality and productivity.

• Provide regular project quality updates, escalated risks and drive timely resolution.

Requirements

• Min. Bachelor's Degree in Electrical & Electronics Engineering, Computer Engineering, Computer Science or related disciplines.

• Min 5-6 years' experience in Quality Engineering and/or Design within electronics or software development.

• Min. 4-5 years of experience in both external and internal customer‑facing roles, with strong stakeholder management and communication skills.

• Strong understanding of electronic manufacturing, assembly and test processes.

• Experience with product development, quality tools and risk‑based quality practices.

• Experience supporting or auditing ISO 9001 quality systems.

• Strong hands‑on troubleshooting and failure analysis capabilities.

• Proven ability to collaborate across Engineering, Manufacturing, Service and global teams.

Preferred but not a must

• Experience with SDLC, Agile, Scrum, SAFe or Lean methodologies.

• Knowledge of Six Sigma, DFSS or Reliability Engineering.

• Experience in hardware design/manufacturing within automotive, aerospace, semiconductor or consumer electronics.

• Relevant certifications such as ASQ CSQE or Six Sigma Black Belt.

• Exposure to AI/GenAI, Machine Learning, analytics, data visualisation or digital automation in engineering, testing, quality or manufacturing.

• Familiarity with data pipelines, model validation and scalable digital solutions.