Embedded Software Engineer II - (C++) Realtime Platform

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Embedded Software team develops foundational platform software that is critical to development across the company. The team develops FreeRTOS, SafeRTOS, and bare metal environments for both QM and ASIL applications on a variety of embedded targets including ARM. Projects often impact all levels of the stack from the bootchain to applications and usually require cross-functional collaboration with other engineering teams. We have a strong passion for technical excellence and rigorous compliance with ASPICE and ISO26262.

What you’ll do: 

• Support the development and maintenance of an on-vehicle UDS (ISO 14229) diagnostic stack running as a Linux userspace application on an embedded ARM-based compute platform, working alongside the subsystem owner
• Develop and maintain embedded C++ software running in Linux userspace on ARM-based compute platforms, contributing to a real-time capable HLOS environment
• Drive a test-first mindset — routinely designing and implementing unit, integration, and bench-level tests to ensure subsystems are well validated end-to-end
• Own specific modules or subsystems — responsible for both design and implementation, producing code that is clean, well-tested, and built for long-term maintainability
• Debug complex system-level issues involving IPC frameworks, network stacks, and hardware peripherals, escalating to more senior staff when appropriate
• Perform code reviews within the team, ensuring algorithmic correctness, robust edge case handling, and adherence to coding standards
• Collaborate with other engineering teams to understand system requirements and incorporate them into well-architected software designs that account for system-level dependencies
• Manage competing priorities across multiple implementation tasks, proactively communicating blockers or risks to senior staff
• Produce clear documentation for diagnostic workflows, test procedures, and integration notes; begin mentoring junior team members in the diagnostic domain as experience grows

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
• Demonstrated ability to write well-structured, maintainable software — strong grasp of software design principles with a track record of clean, tested, reviewable code
• Proficiency in embedded modern C++ (14+), including comfort with MISRA-C++ coding standards
• Experience with Linux userspace application development on embedded ARM-based platforms
• Experience writing and maintaining automated tests; Python scripting skills for diagnostic test development
• Ability to independently debug system-level issues involving network stacks, IPC frameworks, and hardware peripherals, escalating to senior staff when appropriate
• Strong awareness of trade-offs between technical debt and delivery; proactively works to keep code maintainable and focused
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field and 3+ years of relevant experience (or Master's degree and 1+ years of relevant experience)

Nice to have: 

• Experience integrating or maintaining third-party closed-source diagnostic protocol stacks
• Experience with automotive diagnostic protocols — UDS (ISO 14229) and DoIP (ISO 13400)
• Exposure to ARM TrustZone / OP-TEE or other TEE-based security models
• Expertise in Linux-based software development and related technologies including gtest, Python, Bazel, and Docker
• Experience implementing diagnostics to OEM-specific diagnostic specifications (DID/DTC definitions and