Software Engineer - Prediction and Planning ML

Responsibilities

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that predict future motion of the ego agent and other road users
• Leverage Applied Intuition products to build software and infrastructure for behavior-specific ML development
• Collaborate tightly with perception and planning engineers on cross-team initiatives

Requirements

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Experience with the end-to-end development cycle of deep learning models
• Expertise in modeling, input pipelines, evaluation, deployment, and model optimization
• 3+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++

Preferred Qualifications

• Peer-reviewed research at machine learning conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA
• Experience with driver assistance or autonomous driving systems
• Experience evaluating and improving system-in-the-loop model performance

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017 and valued at $15 billion, the company creates digital infrastructure to bring intelligence to moving machines across automotive, defense, trucking, construction, mining, and agriculture. It is trusted by 18 of the top 20 global automakers and the U.S. military, and is headquartered in Sunnyvale, California.