Drimva

Applied Intuition

Prediction and Planning - Technical Lead

$200K–$300K

Sunnyvale · On-site · Full-time · Posted Sep 10, 2026

Experience
3+ years building production software; no years specified for other experience.
Education
Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field.

About the job

Leads the architecture and development of machine-learning behavior prediction and planning systems for autonomous vehicles and other road users.

What you'll do

  • Set the technical roadmap, architecture, and execution for ML algorithms that generate driving trajectories.
  • Lead architecture reviews and build scalable software and infrastructure foundations for behavior ML development.
  • Mentor engineers and collaborate with perception, planning, and research teams on models and techniques.

What they ask for

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Technical leadership experience, including leading complex projects, mentoring engineers, and influencing architecture.
  • Track record shipping production ML software in complex real-world environments; expertise in at least one of modeling, input pipelines, evaluation, deployment, or model optimization.
  • End-to-end deep learning model development experience; 3+ years building production software; fluency in Python and intermediate experience in C++.

Nice to have

  • 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, or evaluating and improving system-in-the-loop model performance.

Pay

$200K – $300K USD base salary

Tools

Python, C++, NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV

AI focus

Develops ML-first behavior prediction and planning, including trajectory and interaction prediction, deep learning models, and ML-based planner development.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)