R&D Verification & Qualification Engineer (m/f/d) - Semiconductor Industry
$70,400–$96,800 year
On-siteHeimstetten, Bavaria, Federal Republic of Germany
Job Summary
Lead structured FMECA activities at system, design, and process levels to identify, prioritize, and mitigate technical risks while maintaining a continuous risk register. Develop verification and qualification plans aligned with the V‐Model and execute or coordinate associated testing, including designing experiments, collecting data, and documenting results to ensure objective, traceable evidence for requirement compliance. Drive the transition from prototype to manufacturable product by enforcing design guidelines and DfX rules to ensure long-term reliability. Collaborate cross-functionally with design, manufacturing, quality, and supply chain partners to align product readiness with industrialization milestones. Contribute to knowledge management by capturing lessons learned and known failure modes to enhance and standardize verification processes.
Required Qualifications
- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Physics, or a related technical field
- Experience in R&D, engineering, or high‐tech industrial environments with established production processes
- Hands‐on experience with verification, qualification, or risk‐driven productization activities
- Familiarity with FMECA methodologies and structured V‐Model processes
Desired Qualifications
- Experience with electron microscopy, electron‐optical modules, or other precision instrumentation
- Understanding of DfX principles and their role within a structured systems engineering framework
- Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Physics, or related fields
- Experience with vacuum systems, high‐voltage hardware, or cleanroom practices
- Exposure to reliability engineering or lifetime qualification methods
- Background in low‐volume, high‐value manufacturing environments
- Strong command of FMECA methodologies (system, design, process)
- Ability to define, plan, and execute verification & qualification experiments
- Experience building verification plans directly linked to risk assessments and technical requirements
- Competence in data analysis, experimental design, and evidence‐based decision making
- Familiarity with CAD tools, simulation software, and analysis platforms (e.g., MATLAB, Python)
- Ability to work effectively with cross‐functional teams
- Strong commitment to structured engineering approaches aligned with the V‐Model
- Mindset for continuous improvement and standardization
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