Senior Engineer Component Verification

Infineon Technologies AG; Malacca City; On-site; MYR 60,000 - 80,000; Full time

Job summary

Infineon Technologies AG in Malacca City is searching for a hybrid Technical Data Analyst to bridge operational data and engineering needs. In this role, you will analyze lab capacity and assist in building automation tools.

Successful candidates will have at least 3 years of experience in analytical roles, be proficient in BI tools like Tableau, and possess a background in engineering. The position offers opportunities to implement AI and enhance lab efficiencies.

Qualifications

• Minimum 3 years of relevant work experience in a technical operations or product analyst role.
• High proficiency in BI tools like Tableau for operational dashboards.
• Experience working alongside software developers using project management tools.

Responsibilities

• Analyze test execution times and optimize lab capacity planning.
• Shadow engineers to identify software gaps in lab workflows.
• Design and maintain interactive dashboards tracking lab KPIs.

Skills

Data Visualization

Project Management Tools

Process/Workflow Mapping

Lab Familiarity

Scripting (Python)

AI & Automation Frameworks

Cross-Functional Communication

Problem-Solving

Education

Bachelor’s Degree in Engineering or equivalent

Tools

Tableau

Jira

Confluence

Git

Azure DevOps

Job description

We are looking for a hybrid Technical Data Analyst to bridge the gap between our physical Component Verification Lab, operational data, and our software engineering team. In this role, you will not just look at dashboards—you will deeply understand how our hardware engineers test components, analyze lab capacity, and act as the “Product Owner” to help software developers build custom lab automation, inventory, and scheduling tools.

Your Role

Key responsibilities in your new role

• Lab Data & Capacity Analysis: Analyze test execution times, equipment utilization rates, and bottlenecks to optimize lab capacity planning
• Requirements Gathering: Shadow Component Verification Engineers to map out physical lab workflows (bring-up, testing, inventory) and identify software gaps
• Dashboard Creation: Design and maintain interactive BI dashboards tracking lab KPIs, project timelines, and equipment downtime for engineering leadership
• Process Automation: Identify opportunities to automate manual data collection processes between lab equipment logs and operational software
• Agentic AI Implementation: Identify opportunities where AI agents can autonomously make decisions, such as auto-scheduling test benches based on priority or auto-ordering component inventory when thresholds are low
• Interface for global and local CV labs to IT R&D:
  • New Development:
    • Main interface to other CV labs in consolidating new lab tool requirements and driving for new software solution with IT RDI
    • Collaborate with IT RDI for development of new tools and improvement of existing tools for CV organization
    • Collaborate with IT RDI during lab software development lifecycle, from requirements gathering to deployment and maintenance
    • Responsible for performing activities for new tool testing after deployment
    • Stay up-to-date with IT RDI on upcoming lab solutions, industry trends and best practices in lab environment
  • Maintenance:
    • Work with global CV labs and perform requirement analysis and feasibility study of user requirements for new change requests
    • Consolidate issues with existing tools and work with IT RDI to resolve incidents
    • Responsible for maintenance and perform activities for testing, and maintenance after rollout
• Global and local CV Lab:
  • Utilization of existing lab management solution software to improve on the overall lab working efficiency
  • Prepare and present the monthly reports on CV labs performance and assist in analyzing the data to identify areas for improvement, and implement preventive measures

Your Profile

Qualifications and skills to help you succeed

• Bachelor’s Degree in Engineering (Electrical / Electronics, Semiconductor Technology, Microelectronics or equivalent), Data Analytics, Computer Science, Operations Research, or equivalent practical experience with minimum 3 years of working experience
• 3+ years of analytical experience, preferably in a technical operations or product analyst role
• Data Visualization: High proficiency with BI tools (Tableau) to build clear, actionable operational dashboards
• Project Management Tools: Experience working alongside software developers using tools like Jira, Confluence, Git, or Azure DevOps to manage technical requirements
• Process/Workflow Mapping: Strong ability and experience in creating workflow diagrams explaining physical lab processes to software engineers
• Lab Familiarity: Prior experience working in or closely with a hardware, electronics, semiconductor, or component verification lab environment
• Scripting (added advantage): Python skills to parse raw hardware logfiles or automate data ingestion pipeline, data cleaning, statistical modeling, and automation
• AI & Automation Frameworks (added advantage): Familiarity with Agentic AI concepts, LLM orchestration tools (e.g., Lang Chain, Llama Index), or AI agent workflows to help developers build autonomous lab tools
• Cross-Functional Communication: Ability to speak "hardware engineering" with the lab team, "data/metrics" with management, and "code/APIs" with software developers
• Problem-Solving: Highly organized mind capable of turning physical lab realities into clean, and structured software requirements

We embrace diversity and inclusion and welcome everyone for who they are. We are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant's experience and skills.