Lead Data Scientist - Edge AI

What's the role?
As a Lead Data Scientist - Edge AI, you will design and deliver highly efficient perception models optimized for deployment on resource-constrained edge devices. You will play a key role in bridging research and production, enabling real-time AI systems to operate reliably at scale.

• 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

Who are you?
You are passionate about building real-world AI systems and enjoy solving complex challenges at the intersection of deep learning and embedded systems. You bring strong technical expertise along with hands-on experience deploying models in production environments.

• 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.
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
Within HERE, you will join a team focused on advancing edge AI perception systems for real-world and automotive applications. The team works at the intersection of computer vision, embedded systems, and scalable AI, building models that enable real-time understanding of road environments. You'll collaborate with engineers and researchers to develop production-ready AI solutions deployed on automotive-grade hardware.