Remote Edge ML Engineer — Automotive AI on MCUs

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

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.