Machine Learning Engineer Automotive
Infineon TechnologiesAbout the role
#WeAreIn for jobs that impact everyone's life.
What if your ideas could change the way the world connects, powers up, or thinks?
As a Machine Learning Engineer Automotive in our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life.
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Your role
Key responsibilities in your new role
At Imagimob, part of Infineon Technologies, you will play a key role in bringing Edge AI to next-generation automotive systems. Working across machine learning, embedded software, and customer applications, you will develop production-ready AI solutions that enable smarter, safer, and more efficient vehicles.
Design, train, validate, and optimize machine learning models for automotive applications on Infineon microcontrollers such as AURIX™, Traveo™ and PSOC™
Work with sensor, system, and application experts to identify suitable AI approaches for customer problems
Collect, analyze, and preprocess automotive sensor and system data, define data collection and labeling strategies, and develop validation methodologies that ensure robust machine learning model performance under real-world operating conditions
Support customers and internal teams in identifying and evaluating AI use cases and develop proof-of-concepts, demonstrations, and customer reference implementations demonstrating the value of Edge AI in automotive systems
Participate in customer workshops, technical presentations, and solution reviews
Your profile
Qualifications And Skills To Help You Succeed
You are a proactive and collaborative engineer who takes ownership, adapts to evolving priorities, and consistently delivers high-quality solutions. You enjoy working closely with colleagues and customers to drive successful outcomes.
Bachelor’s, Master's, or PhD degree in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems, Artificial Intelligence, or a related technical discipline
Strong understanding of machine learning fundamentals, including supervised and unsupervised learning, time-series analysis, signal processing, and deep learning, with hands-on experience in TensorFlow, PyTorch, Scikit-learn, ONNX, or equivalent frameworks
Experience deploying machine learning models on resource-constrained devices including knowledge of TinyML, model optimization (quantization, compression), feature engineering, and real-time inference
Strong programming skills in C, C++, and Python, with familiarity with RTOS concepts, performance profiling, and automotive-grade microcontrollers
Understanding of automotive electronics, software architectures, and development processes, including familiarity with AUTOSAR and ISO 26262 would be an advantage
Experience in software integration for safety-critical or real-time systems, with exposure to automotive radar, inertial/acoustic sensing, motor control, battery management systems, and industrial sensing applications would be an advantage
Fluency in English
Please send us your CV in English.
#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.
We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
Please let your recruiter know if you need any accommodations during the interview process.
Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Luis Oliveira,
https://www.linkedin.com/in/luis-oliveiraa/
Responsibilities
- Design, train, validate, and optimize machine learning models for automotive applications
- Work with sensor, system, and application experts to identify suitable AI approaches
- Collect, analyze, and preprocess automotive sensor and system data
- Support customers and internal teams in identifying and evaluating AI use cases
- Participate in customer workshops, technical presentations, and solution reviews
Qualifications
- Bachelor’s, Master's, or PhD degree in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems, or related discipline
- Strong understanding of machine learning fundamentals
- Experience deploying machine learning models on resource-constrained devices
- Strong programming skills in C, C++, and Python
- Understanding of automotive electronics and software architectures
Skills mentioned
About Infineon Technologies
Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. We make life easier, safer, and greener. Together with our customers and partners. For a better tomorrow. Together, with more than 58,000 people from over 100 countries, we are not just shaping the future. We are redefining it. We engineer innovative products, while caring for our people and empowering them to reach ambitious goals. We offer work-life balance, long term growth and a supportive environment where individuality is celebrated. #WeAreIn for driving decarbonization and digitalization. Are you in?