Engineering

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Research

Information Technology

Human Resources

Quality Assurance

Program and Project Management

Automated driving technologies and ADAS platforms for Ford vehicles

Chief Executive Officer

Chief Technology Officer

Cloud Latitude Launches Private Equity Portfolio Enhancement Program to Drive Cost Efficiency and Maximize Value

Staff Software Engineer (C++) - Radar Sensors

Latitude AI develops automated driving technologies, including Level 3 systems, for Ford vehicles. The Staff Software Engineer will develop safe, efficient embedded C++ software for radar, lidar, and IMU sensing systems, while collaborating with architects, suppliers, and hardware and systems engineers and mentoring junior team members.

Embedded Software Engineer II - High Level OS

Latitude AI develops automated driving technologies for Ford vehicles and works across machine learning, robotics, cloud platforms, mapping, sensors, and compute systems. The Embedded Software Engineer II will develop and maintain onboard Linux operating systems, bootchains, board support packages, secure boot and recovery workflows, and communication mechanisms for ADAS platforms while collaborating with hardware, software, and systems engineers.

Senior Embedded Software Engineer - RTOS

Latitude AI is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. As a Senior Embedded Software Engineer, you will drive the design and implementation of critical software for automated driving technology, collaborating with cross-functional teams to enhance system-level configurations and ensure safety-critical operations.

Embedded Software Engineer II

Latitude AI is building the future of Ford’s autonomy roadmap to enhance travel safety and enjoyment. They are seeking an Embedded Software Engineer II to develop and maintain embedded C++ software for a real-time capable platform, ensuring high-quality and maintainable code while collaborating with cross-functional teams.

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

Senior Software Engineer - Deploy Infrastructure

Latitude AI is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. The Senior Software Engineer will modernize deployment infrastructure and build services for software deployment to autonomous vehicles, working closely with other teams to ensure secure and robust deployments.

Senior Software Engineer, Embedded Networking

Latitude AI is building the future of Ford’s autonomy roadmap to enhance travel safety and enjoyment. The Senior Software Engineer will be responsible for developing and maintaining embedded software for autonomous vehicle compute clusters, ensuring high-quality code and effective communication within a multidisciplinary team.

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

Latitude AI is building the future of Ford’s autonomy roadmap to enhance travel safety and enjoyment. The Embedded Software Engineer II will develop critical platform software for automotive applications, focusing on embedded C++ development and system-level debugging.

Strategist

Latitude AI is seeking a Strategist to lead complex, custom research studies for media and entertainment clients. The role owns projects end to end, including methodology development, quantitative analysis, client relationship management, reporting, presentations, and translating research findings into actionable strategic insights.

Senior / Staff Software Engineer- Unified Modeling (Machine Learning)

Latitude AI develops automated driving technologies aimed at enhancing the driving experience. The Senior / Staff Software Engineer will focus on creating advanced machine learning models and algorithms for perception systems, collaborating with experts to transition solutions from development to production.

Senior Software Engineer - Prediction

Latitude AI is a company focused on developing automated driving technologies for Ford vehicles. The Senior Software Engineer - Prediction will be responsible for integrating and optimizing algorithms for predicting traffic behavior and enhancing the autonomy system's performance through software development and collaboration across teams.