ML-Driven Autonomy Engineer – Behavior & Planning

Applied Intuition; Sunnyvale, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Applied Intuition in Sunnyvale, CA is seeking a software engineer focused on ML-first behavior prediction and planning. You will develop ML modules forecasting road user motions and interactions, collaborating with perception and planning teams to align data generation, training, and planner development.

You will contribute to a fast-paced, customer-focused culture that emphasizes excellence in autonomous systems and hands-on engineering impact.

Qualifications

• Experience with 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++.

Responsibilities

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

Skills

C++

Python

Deep learning

ML development

Model optimization

Education

Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field

Tools

None

Job description

Applied Intuition in Sunnyvale, CA is seeking a software engineer focused on ML-first behavior prediction and planning. You will develop ML modules forecasting road user motions and interactions, collaborating with perception and planning teams to align data generation, training, and planner development.

You will contribute to a fast-paced, customer-focused culture that emphasizes excellence in autonomous systems and hands-on engineering impact.