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

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. 
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. 

All you need is:

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. 

Nice to have:  

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).