R&D
Senior C++ Developer – Neural Network Integration & Production 3D Sensing Systems
Ramat Gan
Full time
Ramat Gan
Full time
Mobileye is looking for a strong Senior C++ Developer to join the Hawkeye team 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 that turns advanced neural network models for 3D reconstruction, object detection, and localization into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles. You will be part of a small, growing team 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.
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 — for tasks such as 3D reconstruction, object detection, and localization.
- 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 ONNX Runtime integration, 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.
- Gradually take broader technical ownership, mentor others, and grow into a technical leadership or small team leadership role.
All you need is:
- B.Sc. in Computer Science, Software Engineering, or equivalent.
- 5+ 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.
- Strong motivation to work close to deep learning algorithms and production AI systems for autonomous vehicle 3D sensing.
- Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
- A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role.
- Experience with performance optimization, memory efficiency, and real-time systems.
- Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
- Familiarity with CI/CD processes and automated testing.
- Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams.
- Background in 3D computer vision, multi-view geometry, point clouds / depth, object detection, localization, or embedded/edge AI deployment.
- Experience with sensor fusion or camera/lidar-based perception pipelines (nice to have).
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!
