Machine Learning Engineer Automotive (Customer Facing)

Imagimob; Stockholms kommun; Hybrid; SEK 700,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Wellness allowance

Online courses

Office in central Stockholm

Hybrid/remote work

Job summary

Imagimob in Stockholm is seeking a Machine Learning Engineer to develop and deploy AI solutions for automotive applications running on Infineon microcontrollers. You will collaborate with OEMs, Tier 1 suppliers, and embedded teams to bring ML to safety-critical automotive systems.

The role focuses on designing, optimizing, and deploying ML models for resource-constrained environments, enabling intelligent sensing, predictive maintenance, anomaly detection, and vehicle diagnostics.

Qualifications

• Bachelor, Master, or PhD in CS/EE/AI or related field.
• Strong knowledge of supervised/unsupervised learning, time-series, signal processing, and deep learning fundamentals.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, ONNX or equivalent.
• Experience deploying ML on resource-constrained devices, with TinyML, quantization, and real-time inference optimization.
• Strong programming skills in C, C++, and Python.

Responsibilities

• Design, train, validate, and optimize ML models for automotive applications on Infineon microcontrollers (AURIX, Traveo, PSOC).
• Collaborate with sensor, system, and application experts to identify suitable AI approaches.
• Preprocess automotive sensor data; define labeling strategies and validation methodologies for robust models.
• Develop proofs-of-concept, demonstrations, and customer reference implementations of Edge AI in automotive systems.
• Participate in customer workshops, technical presentations, and solution reviews.

Skills

C programming

C++ programming

Python

TensorFlow

PyTorch

ONNX

Education

Bachelor/Master/PhD in CS/EE/AI or related

Tools

Scikit-learn

TinyML

Model quantization

RTOS

Job description

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