Senior Staff Artificial Intelligence Engineer (f/m/div) at Infineon Technologies AG Australia

Dresden, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Embedded Systems, Real-Time Processing, C/C++, Python, AI/ML Frameworks, Generative AI, Cloud-Based Deployments, Containerization, Kubernetes, Microcontrollers, Model Integration, Technical Leadership, Communication Skills, Collaboration

Industry

Semiconductor Manufacturing

Description

Your Role Key responsibilities in your new role Proven expertise in machine learning and deep learning, including custom model design, training, optimization and deployment for embedded/edge devices Strong hands-on experience with microcontrollers, embedded systems and real-time processing, ideally within automotive related environments Ability to integrate trained models into firmware/software stacks, ensuring efficiency, reliability and compliance with industry standards and regulations (e.g. functional safety, cybersecurity, EU AI Act) Proficiency in C/C++, Python and modern AI/ML frameworks (e.g.TensorFlow, PyTorch) plus experience with Generative AI tools and frameworks such as LangChain Ideally, experience with cloud-based deployments and infrastructure, containerization (Docker) and orchestration tools such as Kubernetes forAI/ML workflows Your Profile Qualifications and skills to help you succeed Master’s degree or higher in Computer Science, Electrical Engineering, Artificial Intelligence or a related field 5+ years of relevant professional experience in software engineering, embedded systems and applied machine learning, thereof 2+ years in asenior or lead role Self-driven and proactive in identifying opportunities, taking ownership and driving projects from concept to completion Strong communication skills, able to articulate complex technical topics to both technical and non-technical stakeholders Demonstrated leadership and ability to act as a technical projectlead, guiding cross-functional teams Collaborative and adaptable, comfortable working in multidisciplinary environments with fast-changing priorities Contact: Felix Krackau #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. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. 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.

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Responsibilities

The role involves designing, training, optimizing, and deploying machine learning models for embedded devices, particularly in automotive environments. It also requires integrating these models into firmware/software stacks while ensuring compliance with industry standards.