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.
Meet the team:
The Perception Anomaly and Open-World Detection team at Latitude has two major focus areas. First, we detect and handle open-world/vocabulary objects that are uncovered in the labeling ontology. Second, we identify scenarios that are outside the vehicle’s known operational domain (e.g., because of precipitation and low visibility) to trigger disengagements. Equipping our perception system with the ability to handle or disengage when faced with such unfamiliar objects or scenarios is an essential necessity, particularly in safety-critical applications.
Our team integrates these systems onboard and evaluates their performance offboard to ensure they align with our safety case needs. We work closely with systems engineering to develop a formal validation story and ensure the vehicle operates correctly while requesting that the user retakes control in the previously described situations. As the lead for this team, you will have a unique opportunity to transform research concepts into practical solutions that have a significant impact on our product.
What you’ll do:
- Develop innovative and scalable solutions for anomaly detection, using cutting-edge technologies and best practices
- Collaborate closely with internal perception experts and external stakeholders to ensure seamless integration of software and systems
- Champion safety and quality standards throughout the software development lifecycle, from design to deployment
- Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
- Continuously evaluate and optimize software performance, using data-driven insights and feedback from stakeholders
- Stay up-to-date with emerging trends and technologies in the field, and share knowledge with the team
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