Sr Software Engineer
Detection
Updated on 3/25/2024
Latitude AI

201-500 employees

Develops automated driving technologies for safer journeys
Company Overview
Latitude AI, a subsidiary of Ford Motor Company, is a leading force in the development of automated driving technologies, aiming to transform the driving experience into a safer, less stressful, and more enjoyable journey. The company's strength lies in its diverse team of experts in fields such as robotics, machine learning, hardware, and cloud infrastructure, all united by a passion for leveraging technology to effect positive change. With its strategic locations in Pittsburgh, Dearborn, and Palo Alto, Latitude AI is well-positioned to lead the industry in redefining the future of driving.

Company Stage

N/A

Total Funding

N/A

Founded

2022

Headquarters

Pittsburgh, Pennsylvania

Growth & Insights
Headcount

6 month growth

12%

1 year growth

38%

2 year growth

38%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Computer Vision
CategoriesNew
Backend Engineering
Full-Stack Engineering
Software QA & Testing
Software Engineering
Requirements
  • Bachelor's degree in Computer Science, ECE, Robotics, Physics, Mathematics, or related field
  • Significant (4+ years) prior experience in computer vision, machine learning and deep learning
  • Significant (4+ years) of experience in C++ or Python software development
  • Track record of Deep learning research and development, ML research and development and/or AI research and development.
  • Track record of product development culminating in successful launches/releases/etc
Responsibilities
  • 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