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.

Sr Software Engineer (C++, Edge AI)