Senior AI Engineer - Infotainment System Testing (m/f/d)

at  Hays Professional Solutions GmbH

EMPLOYMENT WITH HAYS PROFESSIONAL SOLUTIONS GMBH

Benefits

• Attractive salary.
• 30 days leave per year.
• Flexible working hours
• A chance to work on a new generation of Infotainment System, which will power millions of cars
• An international, interdisciplinary innovation lab.
• Agile working methods and open feedback culture.

Responsibilities

• Develop and implement intelligent recommendation systems for auto-selection of test cases based on software changes.
• Design AI-based frameworks to automatically generate comprehensive and intelligent test cases, improving validation efficiency and coverage.
• Ensure robust testing methodologies for diverse infotainment functionalities, including edge-case handling.
• Build and deploy predictive models that analyze system data to anticipate failures, reduce downtime, and optimize performance.
• Leverage machine learning to monitor and forecast software health in infotainment systems.
• Utilize large-scale datasets to refine recommendation systems, improve test case automation, and enhance predictive maintenance strategies.
• Work closely with software developers, QA teams, and automotive engineers to integrate AI solutions seamlessly into the infotainment test framework.
• Collaborate with cross-functional teams to address challenges and ensure optimal system performance.
• Stay updated with the latest advancements in AI/ML and apply them to improve testing processes.
• Document and present findings, methodologies, and results to stakeholders.

Profile

• Bachelor’s/master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience in AI/ML, with a focus on recommendation systems, automated testing, or predictive maintenance.
• Proficiency in AI/ML frameworks.
• Strong programming skills in Python or C++.
• Experience with embedded systems and real-time environments (e.g., Linux, QNX, Android Auto).
• Familiarity with automotive communication protocols (CAN, LIN, Ethernet).
• Knowledge of test automation and predictive analytics techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
• Ability to stay updated with the latest industry trends and technologies.

• Develop and implement intelligent recommendation systems for auto-selection of test cases based on software changes.
• Design AI-based frameworks to automatically generate comprehensive and intelligent test cases, improving validation efficiency and coverage.
• Ensure robust testing methodologies for diverse infotainment functionalities, including edge-case handling.
• Build and deploy predictive models that analyze system data to anticipate failures, reduce downtime, and optimize performance.
• Leverage machine learning to monitor and forecast software health in infotainment systems.
• Utilize large-scale datasets to refine recommendation systems, improve test case automation, and enhance predictive maintenance strategies.
• Work closely with software developers, QA teams, and automotive engineers to integrate AI solutions seamlessly into the infotainment test framework.
• Collaborate with cross-functional teams to address challenges and ensure optimal system performance.
• Stay updated with the latest advancements in AI/ML and apply them to improve testing processes.
• Document and present findings, methodologies, and results to stakeholders