Senior Motion Machine Learning Engineer

We are building next-generation Advanced Motion functions that integrate Camera and

Chassis-based sensor data to elevate vehicle perception. We need a versatile Machine

Learning Engineer who can tackle a wide range of ML challenges. While a strong focus on

computer vision is essential, you will also apply your broader technical skills to develop and

deliver diverse, non-vision machine learning solutions.

Scope of Work

• Define vision-based strategies and technical requirements for precise, real-time hitch
  
  

angle estimation.

• Orchestrate end-to-end data campaigns, building automated pipelines for image
  
  

ingestion, cleaning, and annotation.

• Design, train, and benchmark diverse model architectures to ensure superior accuracy
  
  

and environmental robustness.

• Deploy optimized models to edge hardware (e.g., NVIDIA Orin), utilizing model
  
  

compression techniques, e.g. quantization/distillation and pruning to minimize latency

without compromising accuracy.

• Conduct rigorous real-world vehicle testing and failure analysis to ensure the system
  
  

meets strict safety and performance KPIs.

Qualifications And Skills Required For The Role

• Master’s Degree in Physics, Mathematics, Complex Adaptive Systems, Computer
  
  

Science or equivalent fields

• Experience in applied research in AI/ML from industry or academia is highly valued
• Deep understanding of CNN and Transformer architectures, with practical experience
  
  

in Object Detection (YOLO, SSD), Semantic Segmentation, and Pose Estimation.

• Strong foundation in traditional vision techniques including camera calibration,
  
  

projective geometry, and image processing using OpenCV.

• Proficiency with modern ML frameworks such as PyTorch or TensorFlow.
• Strong coding skills in Python for model development and C/C++ for efficient system
  
  

integration.

• Proven experience compressing SOTA cloud-sized models into efficient edge-ready
  
  

versions using advanced model compression techniques while retaining accuracy.

• Proven track record of deploying AI models on embedded edge devices (e.g., NVIDIA
  
  

Jetson, Drive AGX).

• Hands-on experience with acceleration libraries (TensorRT, ONNX Runtime, TVM)
• Familiarity with vehicle communication protocols (CAN, FlexRay) and testing tools is
  
  

highly valued.

• Understanding of vehicle dynamics is highly appreciated
• Ability to solve complex problems within cross-functional teams using strong
  
  

analytical and root-cause analysis skills.

• Proficient communication skills in English, both spoken and written.
  
  

Personal attributes

• Strong analytical and problem-solving mindset, able to translate customer and system
  
  

needs into technical concepts.

• Structured, self-driven and able to take ownership from idea to validated proof of
  
  

concept.

• Collaborative and open, enjoying cross-functional teamwork with software, hardware, test
  
  

and product teams.

• Ability to explain complex technical topics concisely to both technical and nontechnical
  
  

stakeholders.

• Curious, innovative and eager to explore and benchmark new technologies and control
  
  

concepts.

• Comfortable working in an international environment and managing multiple parallel tasks
  
  

and priorities.