Semiconductor Reliability Engineer: Qualification Focus

Capgemini Engineering; Diegem; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Access to cutting-edge innovation labs

Specialized technical communities

Unlimited access to educational content

Résumé du poste

Capgemini Engineering in Diegem is seeking a skilled Reliability Engineer to define and execute strategies for semiconductor devices. This role involves collaborating with cross-functional teams to enhance product quality and reliability while ensuring compliance with industry standards.

The ideal candidate has a Master's degree, at least 5 years of experience in reliability engineering, and proficiency in statistical analysis. Enjoy innovative labs, continuous learning opportunities, and a culture that supports professional growth.

Qualifications

• Minimum 5 years of experience in reliability engineering or semiconductor testing.
• Strong understanding of reliability testing methodologies including HTOL and thermal cycling.
• Hands-on experience in failure analysis and root cause investigation.

Responsabilités

• Define and execute reliability strategies for semiconductor devices.
• Analyse test data and lead corrective actions for product robustness.
• Contribute to product qualification and develop reliability models.

Connaissances

Reliability engineering

Failure analysis

Statistical analysis

Communication skills in English

Project management

Formation

Master's degree in Electronics Engineering, Materials Science, or related field

Outils

Semiconductor test equipment

Automated test systems

Description du poste

Capgemini Engineering in Diegem is seeking a skilled Reliability Engineer to define and execute strategies for semiconductor devices. This role involves collaborating with cross-functional teams to enhance product quality and reliability while ensuring compliance with industry standards.

The ideal candidate has a Master's degree, at least 5 years of experience in reliability engineering, and proficiency in statistical analysis. Enjoy innovative labs, continuous learning opportunities, and a culture that supports professional growth.