• Design and train perception models for detecting road features such as traffic signs, lanes, infrastructure, and dynamic objects (vehicles, pedestrians, cyclists)
• Build and optimize AI pipelines for deployment on edge platforms such as NVIDIA Jetson, Qualcomm Snapdragon, and ARM-based devices
• Improve real-time inference performance using techniques such as quantization, pruning, and knowledge distillation
• Convert and deploy models using TensorRT and ONNX to achieve low-latency performance
• Develop scalable training and evaluation workflows using PyTorch or TensorFlow
• Collaborate with embedded systems and software engineering teams to deliver production-ready solutions

• Advanced degree (MS/PhD) in Computer Science, AI, Robotics, or a related field, along with significant industry or research experience
• Strong background in computer vision and deep learning model development
• Hands-on experience deploying AI models to edge or embedded hardware with a focus on real-time, low-latency inference
• Proficiency in Python and experience working with PyTorch or TensorFlow
• Experience with model optimization and deployment tools such as CUDA, TensorRT, or ONNX
• Understanding of perception tasks including detection, segmentation, and multi-task learning
• Exposure to modern vision architectures such as YOLO, RT-DETR, MobileNet, EfficientNet, or lightweight transformer-based models
• Experience working in applied environments such as automotive, robotics, or video / multi-camera perception systems

What we offer

HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.