Senior Software Engineer - C++ Embedded Systems (Autonomous Driving)

Team: Software

Location: Jerusalem, Israel

Commitment: Full time

Workplace Type: hybrid

We are part of Mobileyes REM (Road Experience Management) organization, responsible for the HD maps that power Mobileyes autonomous driving technologies. Our team develops the in-vehicle map platform, including smart cloud map downloads, caching, map management, efficient APIs for map consumers, and protocols for distributing map data across vehicle ECUs. We also develop map-based algorithms such as route calculation and lane network generation, which are key components of autonomous driving systems. This is a highly technical role involving embedded software, large-scale map data, performance optimization, and collaboration across multiple engineering teams.

What your job will look like:

• Design and develop high-performance C++ software for embedded automotive systems.
• Develop infrastructure for HD map download, caching, storage, and distribution.
• Build efficient APIs and communication protocols for map consumers.
• Develop map-based algorithms, including routing and lane network generation.
• Optimize software for performance, memory usage, and reliability.
• Collaborate with algorithm, cloud, and infrastructure teams to deliver production solutions.
• Lead technical design discussions and mentor other engineers.

All you need is:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.
• At least 5 years of hands-on experience developing production software in C++.
• Strong understanding of software design and object-oriented programming.
• Experience developing embedded or performance-critical software.
• Excellent debugging and problem-solving skills.
• Ability to independently lead complex technical tasks.
• Strong communication and teamwork skills.
• Previous managerial experience is an advantage.

Nice to have:

• Experience with autonomous driving systems.
• Experience with map technologies, GIS, navigation, or routing algorithms.
• Experience with cloud-connected embedded systems.
• Experience with distributed systems or communication protocols.
• Experience optimizing software for CPU, memory, and latency.