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

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.

Advantages:

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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.