Search the 10 jobs at Latitude AI

As an Embedded Software Engineer, you'll design and implement embedded software for vision-based sensing systems, producing high-quality code and collaborating with cross-functional teams to ensure project success.

The Software Engineering Manager I will architect and implement a machine learning platform, collaborate with teams to deliver features, automate software deployment processes, and support a team of engineers. This role involves following best practices in software engineering and analytics while overseeing project initiatives.

The Sr Software Engineer will develop scalable solutions for anomaly detection, ensuring integration of software and systems while championing safety standards. Responsibilities include transitioning solutions from research to production implementation and continuously optimizing software performance based on feedback.

As a Staff Software Engineer at Latitude AI, you'll collaborate with experts to build perception solutions for autonomous driving, focusing on software development in domains such as sensing, machine learning, mapping, and performance optimization. You'll develop production-quality software in a highly autonomous environment, ensuring safety and efficiency.

As a Software Engineer II at Latitude AI, you will develop solutions for anomaly detection, collaborate with perception experts, and ensure safety and quality throughout the software lifecycle. You will also optimize software performance and keep abreast of emerging technologies.

As a Senior Staff Software Engineer at Latitude AI, you will collaborate with experts in perception and robotics to develop automated driving technology. Responsibilities include architecting solutions for sensors, machine learning, mapping, and performance enhancements while ensuring safety and quality in software development.

Define and lead the architecture and requirements for the fault handling system, focusing on customer engagement through HMI, writing safety and performance requirements, and collaborating with cross-functional teams to ensure thorough design verification and testing.

The Senior Software Engineer will scale machine learning for autonomous driving, collaborating with experts to build large-scale robotics systems, architecting and implementing solutions, and developing production-quality software within a strong safety culture. Responsibilities include building and optimizing machine learning training pipelines and cloud services.

As an Engineering Manager, you will lead a team responsible for developing software solutions for Ford's ADAS systems, collaborate with hardware and software engineers, and ensure that both functional and security requirements are met while driving technical and business objectives forward.

The Senior Software Engineer will develop machine learning models and advanced algorithms for multi-object tracking and state estimation. Responsibilities include transitioning solutions from lab to production, collaborating with experts, and maintaining high software practices.