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.
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