Latitude AI

Build the embedded Linux platform powering Latitude AI’s automated-driving systems, from board support packages and bootchains to secure boot and device drivers. You’ll work across hardware, software, and systems teams to bring production automotive platforms to life.

Latitude AI is hiring a Senior Cyber Security Engineer to secure and automate HPC, virtualization, cloud, data center, and network environments supporting autonomous-driving technology. This hands-on technical lead will shape security architecture, deploy solutions, improve automation, and partner across engineering and infrastructure teams.

Build the embedded software powering Latitude AI’s radar, lidar, and IMU sensing systems for automated driving. Lead technical design, mentor engineers, and deliver safe, high-performance C++ software for resource-constrained automotive platforms.

Build and run reliable, scalable platforms for Latitude AI’s autonomous driving systems. You’ll develop monitoring, automation, Kubernetes controllers, and incident-response practices across a complex cloud-native engineering environment.

Build foundational embedded RTOS and platform software for Latitude AI’s next-generation automotive ADAS system. You’ll architect safety isolation, hardware abstraction layers, low-level drivers, and SoC integrations across ARM-based platforms.

Build the embedded networking and time-synchronization software that supports Latitude AI’s autonomous vehicle compute platforms. This senior role combines modern C++, automotive Ethernet, safety-critical systems, and hands-on hardware-software integration.

Develop embedded C++ software and automotive diagnostic systems for Latitude AI’s real-time Linux and ARM-based autonomy platform. You’ll own modules, build comprehensive tests, debug system-level issues, and collaborate across teams working on Ford’s hands-free ADAS technology.

Build and modernize the deployment infrastructure that delivers software reliably to Latitude AI’s autonomous vehicles. You’ll develop Python and systems-language tooling, integrate artifact and test pipelines, and work across infrastructure and embedded systems.