We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
Key Responsibilities
Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++.
System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency.
Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency.
Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels.
End-to-End Ownership: Take full technical ownership of critical features-from ambiguous requirements and system design through implementation, rollout, and observability in production environments.

Our Autonomous Driving Software Group in Haifa is looking for an experienced C++ developer to join our team!
Our group is responsible for developing new software architecture and tools to replace existing code with a modern, scalable design.
We enable support for new design wins and help scale our technology to run efficiently in vehicles, contributing to saving lives and enabling autonomous driving.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Working in a large group of software developers with cross-team collaboration.