Senior Embedded Software Engineer, Vision Pipelines

Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation 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.

The Embedded Software team is responsible for developing the hardware drivers, hardware safety monitoring, and vehicle interfaces for the autonomy system. As an embedded software engineer on the sensor firmware team, you will be responsible for the design and implementation of the embedded software for the camera sensing system. We're looking for someone who has a passion and expertise in developing safe, efficient software for vision systems.

What you'll do: • Deliver safe and efficient embedded software for state-of-the-art vision-based sensing systems • Produce high-quality, maintainable code using C++ • Create architecture and designs in alignment with ASPICE and Functional Safety standards • Design, implement, and test full-stack software running in resource-constrained environments • Work closely with a multidisciplinary team of hardware, software, and system engineers to ensure the success of our product

What you'll need to succeed: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) • Strong experience developing embedded applications and systems using C++ • Strong software design, algorithm, problem-solving, and analytical skills • Experience with multi-processor SoCs or similar embedded processors used in camera and vision processing • Familiarity with Embedded OS such as FreeRTOS and Linux desired • Prefer candidates with experience developing software for highly complex, safety-critical sensing systems

Nice to have: • Strong knowledge and experience working on Camera drivers and camera pipelines using hardware accelerators such as ISP and encoders • Track record of technical leadership in automotive or related fields taking products to production