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.
• 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).