ML Systems Engineer

Our client, a growing Mobility Technology company based in Munich , is looking for an ML Systems Engineer to optimise, deploy, and maintain machine-learning models in production environments, with a focus on inference performance, reliability, and efficient resource utilisation.

You’ll work at the intersection of Machine Learning, Software Engineering, and Systems Optimisation , transforming trained models into reliable, high-performance software components for intelligent mobility applications.

Core Skills

• 3+ years in Machine Learning Engineering, ML Systems Engineering, Software Engineering, or a similar role
• Experience working with NVIDIA GPUs
• Experience deploying machine-learning models into production systems
• Understanding of inference optimisation and model performance
• Strong software engineering and debugging skills

Nice to Have

• TensorRT
• ONNX Runtime
• NVIDIA Triton Inference Server
• Computer Vision
• Real-time inference systems
• Embedded Linux
• CMake
• CI/CD for ML systems
• Model profiling and benchmarking
• Experience with automotive, robotics, or intelligent mobility applications