Senior C++ Software Engineer – Sensor Platform

The team is responsible for the software infrastructure surrounding Radar and LiDAR sensors and is part of Mobileye’s Algo Optimization group. We bridge the gap between cutting-edge sensor technologies and our proprietary hardware accelerators.

We build the core software foundation for perception algorithms, managing the end-to-end flow of sensor data ingestion, parsing, validation, and real-time optimization. Working at the intersection of software, firmware, and hardware, we play a critical role in bringing next-generation sensing capabilities to production vehicles.

What will your job look like:

• Design and develop software integration and automation solutions that support Mobileye's development and validation environments.
• Build scalable infrastructure, tools, and frameworks that enable efficient software integration across multiple platforms.
• Develop automation pipelines to improve software delivery, testing, deployment, and system reliability.
• Analyze complex software systems, identify integration challenges, and drive performance and stability improvements.
• Take ownership of system-level debugging, troubleshooting, and root-cause analysis across software components.
• Collaborate closely with software, DevOps, infrastructure, validation, and system engineering teams to deliver robust end-to-end solutions.
• Contribute to software architecture, integration strategy, and engineering best practices across the organization.
• Continuously improve development workflows by introducing automation, monitoring, and infrastructure enhancements.
  
  

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in software development, with a strong background in embedded and/or real-time systems.
• Strong programming skills in modern C++ and solid experience with Python.
• Hands-on experience working with hardware/software interfaces, low-level debugging, and system performance optimization.
• Strong analytical and problem-solving skills, with the ability to work effectively in a multidisciplinary environment.
  
  

• Experience with automotive Radar and/or LiDAR technologies and related communication protocols.
• Experience with firmware development.
• Experience in signal processing development.
• Experience optimizing software for specialized hardware platforms such as DSPs or hardware accelerators.
• Familiarity with ADAS or autonomous driving systems.