Technical Lead - Prediction and Planning
Leads architecture, development, and technical execution for ML-based behavior prediction and planning systems for autonomous vehicles. Requires technical leadership, production ML experience, Python and C++, and a bachelor’s degree in a relevant field.
About the job
Responsibilities
- Lead the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users.
- Drive architecture reviews and use established products to build scalable software and infrastructure foundations for behavior ML development.
- Mentor and guide engineers while collaborating with perception, planning, research, and other cross-functional leadership teams.
- Support training data generation, ML-based planner development, and state-of-the-art model development.
- Foster engineering excellence and establish best practices across behavior prediction and planning systems.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Proven technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction.
- Track record of shipping production machine learning software in complex, real-world environments.
- Expertise in at least one of modeling, input pipelines, evaluation, deployment, or model optimization.
- Experience with the end-to-end development cycle of deep learning models.
- 3+ years of experience building production software using modern software practices.
- Fluency in Python and intermediate experience with C++.
Nice to Have
- Peer-reviewed machine learning research published at 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.
Skills
Python, C++, Machine Learning, Deep Learning, Modeling, Input Pipelines, Model Evaluation, Model Deployment, Model Optimization, Autonomous Driving, Trajectory Planning, Software Architecture, Perception
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