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C++ Developer – Neural Network Integration & Production 3D Sensing Systems

📅 May 31
📍 🇮🇱 Ramat Gan - Hybrid🎹 Mid-level💻 Software Engineer💼 Full-Time
C++PythonPydata StackLinux
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📜 Description

  • Lead end-to-end development of features from design to deployment.
  • Build ML pipelines for diverse dataset creation and efficient model inference.
  • Design data selection strategies to cover rare and critical scenarios.
  • Partner with algorithm teams to improve model performance through data curation.
  • Integrate neural network models into C++ production systems.
  • Optimize runtime performance in resource-constrained environments.

🛠️ Requirements

  • Experience with autonomous-driving datasets or perception pipelines.
  • Background in 3D geometry and/or strong mathematical foundation.
  • Experience with workflow orchestration tools (Airflow, Argo).
  • Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing).
  • 2+ years in data engineering or backend systems with large‑scale data (production environments).
Full job description

Mobileye is looking for a strong C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms.

This is a rare opportunity to build the software layer bringing cutting-edge computer vision neural network models into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles.

You will be part of a small, growing group working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery.

The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment for high-precision 3D sensing — and who wants to grow over time into a broader technical leadership position.

** The role includes working on-site at our Jerusalem office several days per week.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like:

  • Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment.
  • Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation.
  • Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle.
  • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints.
  • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments.
  • Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization.
  • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment.
  • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems.
  • Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution.
  • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms.

    • All you need is:

  • B.Sc. in Computer Science, Software Engineering, or equivalent.
  • 2+ years of hands-on C++ development experience.
  • Strong understanding of object-oriented design, software architecture, and large-scale system development.
  • Experience working in Linux environments.

    • Nice to have:

  • Hands-on Python experience, including the PyData stack (NumPy, Pandas).
  • Experience with performance optimization, memory efficiency, and real-time systems.
  • Familiarity with CI/CD processes and automated testing.
  • Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams.
  • Experience with workflow orchestration tools (Airflow, Argo).
  • Experience in data engineering or backend systems with large‑scale data (production environments).
    • Apply Now

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