Machine Learning Engineer Automotive (Customer Facing)

Listed as a remote role based in Stockholm, Stockholm County, Sweden. About the Role We are looking for a highly motivated Machine Learning Engineer to develop and deploy AI solutions for automotive applications running on Infineon Automotive microcontrollers. In this role, you will collaborate with automotive OEMs, Tier 1 suppliers, systems engineers, and embedded software teams to bring machine learning capabilities to safety-critical automotive systems. You will be responsible for designing, optimizing, and deploying machine learning models for resource-constrained environments, enabling intelligent sensing, predictive maintenance, anomaly detection, driver monitoring, vehicle diagnostics, and other advanced automotive use cases. The ideal candidate combines strong machine learning expertise with a solid understanding of embedded systems, automotive software development, and real-time constraints. Key Responsibilities 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. Required Qualifications Bachelor or Master's degree or PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems, Artificial Intelligence, or a related technical discipline. Strong understanding of supervised learning, unsupervised learning, time-series analysis, signal processing, and deep learning fundamentals. Experience with TensorFlow, PyTorch, Scikit-learn, ONNX, or equivalent frameworks. Experience deploying machine learning models on resource-constrained devices incl. knowledge of TinyML, model quantization, model compression, feature engineering, and real-time inference optimization. Strong programming skills in C, C++, and Python Familiarity with RTOS concepts, performance profiling, and automotive-grade microcontrollers. Proactive self-starter who takes ownership, contributes to strategic discussions, adapts to evolving priorities, and helps shape the future of our products. Collaborative and independent engineer who maintains high programming standards while supporting colleagues and ensuring customer success. Preferred Qualifications Understanding of automotive electronics and software architectures. Familiarity with AUTOSAR, ISO 26262, and automotive development processes. Experience integrating software in safety-critical or real-time systems is desirable. Experience with automotive radar, inertial sensing, acoustic sensing, motor control, battery management systems, or industrial sensing applications. What we offer: The opportunity to further develop our development platform, responsible for bringing deep learning to the edge Being a part of an excellent international team with highly motivated individuals striving for a common goal A chance to be a part of solving real-world problems using ML Competitive salary, wellness allowance, possibility to attend online-courses A humble and an open-minded company culture Opportunities to grow with the company and advance your career Short decision paths, we love getting things done An office in central Stockholm and the flexibility of working from home Show more Show less Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development