Senior Engineer Component Verification

Infineon Technologies; Malacca City; Hybrid; MYR 90,000 - 150,000; Full time

Job summary

Infineon Technologies in Malaysia seeks a hybrid Technical Data Analyst to connect the Component Verification Lab with data, software and IT teams, driving lab automation and analytics.

You will build dashboards, map lab workflows, analyze capacity, and partner with hardware engineers to translate lab realities into actionable software requirements.

Qualifications

• Bachelor’s degree in engineering and 3+ years in analytics in a technical ops context.
• Proficient with BI tools, especially Tableau, to build actionable dashboards.
• Experience mapping lab workflows for software development teams.
• Familiar with scripting in Python for data processing and automation.
• Collaborate with IT RDI and hardware engineers to align software tools with lab needs.

Responsibilities

• Lab Data & Capacity Analysis: analyze test times, equipment utilization, and bottlenecks.
• Requirements Gathering: shadow engineers to map lab workflows and gaps.
• Dashboard Creation: design and maintain BI dashboards tracking KPIs and downtime.
• Process Automation: automate data collection between lab logs and software.
• AI Implementation: identify opportunities for autonomous lab tool decisions and automation.
• Interface with CV labs and IT RDI for tool development and deployment.
• Prepare monthly reports on CV labs performance and opportunities for improvement.

Skills

Data Visualization

Lab Capacity Analysis

Requirements Gathering

Dashboard Design

Scripting Python

AI & Automation

Cross-Functional Communication

Hardware Familiarity

Technical Product Ownership

Education

Bachelor’s Degree in Engineering or Computer Science

Tools

Jira

Confluence

Git

Azure DevOps

Tableau

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

• 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 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

• 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. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.