Hiring.Camp

Senior Staff / Principal Engineer - Advanced Analytics & Artificial Intelligence (Test Engineering)

Infineon

·

Jun 15, 2026

Location
SG
Type
Full-time
Department
Engineering
Seniority
Lead
Experience
5+ years
Education
Master
Source
Eightfold

Description

From data to deployment, join us in building intelligent systems. As an AI Engineer, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges. Are you in?

Your Role

Key responsibilities in your new role

We are looking for a Test Engineer Expert with key Test Domain expertise to lead next-generation test engineering by combining deep domain expertise with AI-driven analytics and augmented engineering practices.

This role is ideal for forward-thinking engineers who want to redefine test engineering through data intelligence, automation, and AI integration.

In Your New Role You Will:

Test Engineering Leadership

  • Lead the development, release, and continuous improvement of test programs and test packages across product lifecycles.
  • Drive engineering support for qualification, sampling, and high-volume production, including grading strategies.
  • Perform failure analysis, debug, and yield optimisation in collaboration with design, hardware, and product teams.
  • Deliver test time reduction, yield improvement, and test quality enhancement initiatives.
  • Ensure clear and actionable reporting of test results, root cause analysis, and engineering insights.

AI-Augmented Test Engineering

  • Leverage AI and machine learning (ML) to analyse large-scale test datasets for:
  • Yield trend identification
  • Outlier and anomaly detection
  • Predictive failure analysis
  • Apply domain-specific AI systems to enable data-driven test decision-making and optimisation.
  • Develop intelligent test strategies using analytics to:
  • Reduce test cost and complexity
  • Improve coverage and product quality
  • Work with cross-functional teams to implement automated data pipelines and AI-enabled test analytics platforms.
  • Champion the adoption of augmented engineering, combining engineering judgment with AI insights.

Collaboration & Impact

  • Collaborate with design, product, and process engineering teams to ensure strong correlation between test and product performance.
  • Support new product introduction (NPI) and ramp-to-production phases.
  • Interface with test equipment suppliers and pattern vendors to enhance test solutions.
  • Mentor and guide engineers, contributing to capability building in AI-enabled test engineering.

Your Profile

Qualifications and skills to help you succeed

  • A Bachelor’s or Master’s Degree in Electrical & Electronic Engineering, Microelectronics, or a related field.
  • 5–10 years of experience in semiconductor test or product engineering.

Strong knowledge of:

  • IC development lifecycle (design, validation, production, reliability)
  • Wafer test, final test, and yield optimisation
  • ATE platforms and test hardware

Technical Skills:

  • Proficiency in programming (Python, C++, Java) for test and data analysis.
  • Experience with statistical methods such as DOE, SPC, and correlation analysis.
  • Strong analytical capabilities in test data interpretation and debugging.
  • AI & Data Capabilities (Key Requirement)

Hands-on experience or strong exposure to:

  • Machine learning / AI applied to engineering or test data
  • Large-scale data analytics workflows
  • Familiarity with:
  • Domain-specific AI systems for semiconductor test/yield analytics
  • Predictive modeling and anomaly detection techniques
  • Ability to translate engineering challenges into data-driven, AI-enabled solutions.

________________________________________

Experience We Value

  • Experience in automotive SoCs, microcontrollers, or high-reliabilityproducts.
  • Proven track record in:
  • Yield improvement and test optimization
  • NPI and production ramp activities
  • Exposure to AI-based automation or smart manufacturing systems is astrong advantage.

Contact:

Sherlene Ong

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means 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. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Skills

PythonJavaMachine Learning

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