Machine Learning Engineer Automotive (Customer Facing) (f/m/div)

Infineon Technologies; Center City (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

Infineon Technologies Imagimob is seeking a Machine Learning Engineer for automotive edge AI. You will design, train, and deploy ML models on automotive MCUs to enable smarter, safer vehicles.

Work across machine learning, embedded software, and customer applications, using TensorFlow/PyTorch, C/C++, and Python. You will engage in customer workshops and demonstrations and contribute to production-ready AI solutions for real-world mobility challenges.

Qualifications

• 5+ years of professional ML/embedded automotive experience.
• Hands-on with ML frameworks and edge deployment.
• Familiarity with automotive-grade MCUs and safety standards.

Responsibilities

• Design, train, validate, and optimize ML models for automotive use.
• Deploy models on Infineon microcontrollers like AURIX, Traveo and PSOC.
• Collaborate with sensor, system and customer teams on AI approaches.
• Support customer workshops, demonstrations, and reference implementations.
• Define data collection, labeling, and validation methodologies.

Skills

Machine learning

Embedded systems

Automotive software development

C/C++/Python

English fluency

Education

Bachelor’s/Master’s/PhD in CS/EE/Embedded Systems/AI

Tools

TensorFlow

PyTorch

Scikit-learn

ONNX

TinyML

RTOS

AUTOSAR

Job description

#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.

Are you in?

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, with 5+ years of relevant professional experience in machine learning, embedded systems, automotive software development, or related fields
• 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

#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.