Mobileye
Mobileye
Mobileye develops advanced driver-assistance systems and autonomous driving technology for the automotive industry. The company combines computer vision, artificial intelligence, proprietary hardware, and software to support vehicle safety across applications ranging from driver assistance to autonomous operation. Its systems have been deployed in more than 190 million vehicles, reflecting Mobileye’s role in bringing vision-based automotive technologies to large-scale production.

Senior C++ Developer – Neural Network Integration and 3D Perception at Mobileye

Senior C++ Developer building production software that integrates neural networks into Mobileye’s autonomous-vehicle 3D sensing and perception platforms. The role focuses on edge-device inference, performance optimization, and deployment workflows in a hybrid Israel-based environment.

Description

  • Design and implement large-scale C++ systems for AI and algorithmic pipelines supporting real-time 3D sensing and perception.
  • Integrate neural network models into production software, including runtimes, sensor and data flows, pre-processing, post-processing, and system validation.
  • Optimize performance, memory usage, latency, and throughput for high-precision 3D perception workloads on resource-constrained devices.
  • Build and maintain application infrastructure that runs algorithmic and neural network solutions efficiently on edge devices.
  • Contribute to neural network deployment workflows, including model conversion, inference execution, profiling, and optimization.
  • Own end-to-end feature delivery from design and implementation through integration, testing, and deployment.
  • Participate in CI/CD, automated testing, and development workflows for production algorithm systems.
  • Work with Mobileye teams on system architecture and 3D sensing and AI algorithms.

Requirements

  • At least four years of hands-on C++ development experience.
  • A B.Sc. in Computer Science, Software Engineering, or an equivalent qualification.
  • Strong knowledge of object-oriented design, software architecture, and large-scale system development.
  • Professional experience working in Linux environments.
  • Interest in deploying neural networks on edge devices, including inference runtimes, model integration, and performance optimization.
  • A proactive, ownership-oriented approach with an interest in developing toward broader technical leadership.
  • At least two years of hands-on Python development, including NumPy and Pandas.
  • Experience optimizing performance and memory efficiency in real-time systems.
  • Familiarity with CI/CD practices and automated testing.
  • Experience working with algorithm, computer vision, deep learning, 3D perception, or data teams.
  • Background in 3D computer vision, point clouds or depth, object detection, or embedded and edge AI deployment.
  • Experience with workflow orchestration tools such as Airflow or Argo.
  • At least two years of experience in data engineering or backend systems handling large-scale data in production.

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