Senior C++ Developer – Neural Network Integration & Production 3D Sensing Systems
- Location
- Ramat Gan, Israel
- Workplace
- Hybrid
- Employment
- Full-time
About this role
Mobileye is looking for a strong Senior 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. Ideal for engineers passionate about modern C++, real-time systems, and AI deployment, this position offers the opportunity to tackle complex technical challenges and grow into broader leadership.
\nWhat 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.
- Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments.
- 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.
- 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.
- Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms.
- 4+ years of hands-on C++ development experience.
- B.Sc. in Computer Science, Software Engineering, or equivalent.
- Strong understanding of object-oriented design, software architecture, and large-scale system development.
- Experience working in Linux environments.
- 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.
- 2+ years Hands-on Python development 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 with algorithm, computer vision, deep learning, 3D perception, or data teams.
- Background in 3D computer vision, point clouds / depth, object detection, or embedded/edge AI deployment.
- Experience with workflow orchestration tools (Airflow, Argo).
- 2+ years in data engineering or backend systems with large‑scale data (production environments).
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!
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Ask your AI about this role
Connect Clera once, then ask if it fits you.
Ask about this role
Read the Senior C++ Developer – Neural Network Integration & Production 3D Sensing Systems listing at Mobileye (https://www.getclera.com/jobs/mobileye/senior-c-developer-neural-network-integration-and-production-3d-sensing-systems-bknc04xz8tki) and tell me whether it fits my profile. Save it for me if it does.
Not connected yet? Takes a minute
https://mcp.getclera.comSign in with your Clera account. MCP docs