Engineering Product Quality (EPQ) for Power Train Solutions

Roles & Responsibilities:

The Engineering Product Quality (EPQ) role is responsible for partnering with engineering teams to ensure product and service quality throughout the development lifecycle. The position combines traditional Quality Assurance (QA) responsibilities with a strong focus on AI-driven digitalization agent development and prompt engineering.

1. Project Quality Governance

• Plan monitor and report preventive quality assurance activities.

• Moderate Quality Gates (QGs).

• Conduct QA activities aligned with organizational processes.

• Provide early risk identification escalation and stakeholder management.

• Lead project quality topics and drive AI-enabled digitalization of EPQ activities.

2. Project Team Coaching

• Prepare project teams for quality gates milestones releases and assessments.

• Coach teams on processes methods tools and standards.

• Promote engineering excellence practices such as clean design clean coding technical debt management and CX implementation.

• Contribute to engineering discussions and key decisions.

3. Value-Added Quality Activities

• Identify and mitigate product/service quality risks.

• Analyze defect patterns field issues and vulnerabilities using data-driven approaches.

• Participate in Design FMEA activities.

• Facilitate lessons learned and best-practice sharing.

• Conduct independent quality reviews of engineering deliverables and impact assessments.

4. Strategic Project Involvement

• Support quality assurance during acquisition phases.

• Release preventive quality assurance plans.

• Act as a review partner in defining and aligning engineering strategies.

5. Innovation and Continuous Improvement

• Drive cycle-time reduction and release predictability improvements.

• Improve data quality and enable data-driven decision making.

• Analyze TRC and MRC patterns to strengthen Quality Improvement Plans (QIP).

• Help projects tailor processes to business needs.

Qualifications :

Educational qualification:

• B.E./ in Electronics & Communication Electrical & Electronics Computer Science or related fields.

Experience:

• 47 years of software development and/or testing experience.( 2 -3 years of Quality assurance and process consultancy support preferred)

• Strong experience in software development processes.

• Ability to assess software quality metrics and manage technical debt.

• Experience with AI/GenAI applications in QA activities.

• Background in automotive/software quality standards Agile practices and embedded software projects.

Mandatory/requires Skills:

• Software Quality Assurance

•  

  ASPICE ISO 9001 and CMMI

• Quality methods (CAR 8D FMEA)

• Quality Gate moderation

• Prompt Engineering and Agentic Flows

• Strong communication stakeholder management and customer focus

Preferred Skills:

• Knowledge on AI and ML technologies

• Knowledge Scripting / statistical Analysis

Additional Information :

• Ability to independently drive quality initiatives across cross-functional programs.

• Strong strategic mindset with an innovative approach to quality improvement.

Remote Work :

No

Employment Type :

Full-time