Sr Software Engineer (C++, Edge AI)

About the Role

What's the role? As a Senior Software Engineer, you will contribute to the integration, validation, and optimization of a real-time Edge Unified Road Perception system deployed on automotive-grade and embedded hardware platforms. You Will • Integrate AI perception models into edge and automotive software stacks • Develop validation and testing pipelines for computer vision use cases such as object detection, segmentation, lane detection, road feature extraction, and dynamic object tracking • Evaluate system performance across key metrics including latency, FPS, accuracy, memory usage, and GPU/CPU utilization • Build automated benchmarking and regression testing frameworks to ensure system reliability • Optimize inference pipelines across edge and SoC platforms including NVIDIA Jetson, Qualcomm Snapdragon, ARM-based devices, and automotive hardware • Support deployment using tools and frameworks such as TensorRT, ONNX Runtime, CUDA, and OpenCV • Troubleshoot and resolve integration, runtime, and hardware-related issues • Collaborate with cross-functional teams to ensure scalable, stable, and real-time system performance Who are you? You are a software engineer with a strong foundation in embedded systems, AI model deployment, and performance optimization. You enjoy working at the intersection of software, hardware, and AI, and bring a problem-solving mindset to building scalable and reliable systems. You Bring • A degree in Computer Science, Software Engineering, Electrical Engineering, or a related field with relevant industry experience • Strong programming skills in Python and C++ • Experience with Linux-based embedded systems and real-time software environments • Hands-on experience integrating and deploying AI models in production systems • Experience working with CUDA, TensorRT, ONNX, and OpenCV • Knowledge of performance profiling and optimization techniques for edge AI systems • Experience building automated testing, benchmarking, or evaluation tools • Familiarity with computer vision pipelines, evaluation metrics, and model benchmarking You May Also Bring • Experience in automotive perception or ADAS systems • Exposure to YOLO-based models, multi-camera pipelines, ROS/ROS2, or GStreamer • Experience deploying AI on automotive or embedded SoC platforms What Do We Offer? We foster an inclusive and collaborative environment where innovation thrives and individuals grow. • Opportunities to work on cutting-edge technologies in AI, mobility, and edge computing • A collaborative and supportive team culture • Continuous learning, career development, and growth opportunities • Flexible work arrangements and a focus on work-life balance • A diverse and inclusive workplace where all voices are valued HERE Technologies is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, or disability. 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. About The Team You will join a high-impact engineering team working on cutting-edge edge AI and embedded systems for real-time road perception. The team collaborates closely with AI scientists, embedded engineers, and platform specialists to deliver scalable, production-grade solutions across automotive and edge environments.