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

Описание

Mobileye is looking for a strong C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around core 3D sensing, perception, and deep learning algorithms. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery.

Responsibilities

• 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

Requirements

• 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)

We offer

• Full time employment
• Hybrid work mode