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.

All you need is:

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 – Advantage.
Experience with firmware development – Advantage.
Experience optimizing software for specialized hardware platforms such as DSPs or hardware accelerators – Advantage.
Familiarity with ADAS or autonomous driving systems – Advantage.