Drimva

PlusAI

Senior/Staff Machine Learning Engineer, Motion Planning

$130K–$220K

Santa Clara, CA · Hybrid · Staff · Full-time · Posted Aug 27, 2026

Experience
4+ years.
Education
BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or a related field.

About the job

Develop and deploy machine-learning planning algorithms for autonomous trucks, from data preparation and evaluation through production monitoring and improvement.

What you'll do

  • Build and evaluate ML models for trajectory generation, behavior planning, and decision-making; analyze failures and improve robustness.
  • Own the ML lifecycle, including data curation, training, validation, deployment, and monitoring.
  • Collaborate with engineering teams to deploy planning systems and ensure trajectories are safe, feasible, and compliant with traffic rules.

What they ask for

  • BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or a related field.
  • 4+ years developing ML systems for robotics, autonomous driving, or other real-time decision-making systems.
  • Strong Python skills and experience with modern deep learning frameworks such as PyTorch.
  • Experience designing datasets, experiments, validation methodologies, and metric-driven model evaluation.

Nice to have

  • Experience with planning, prediction, motion forecasting, or trajectory generation.
  • Experience deploying ML models in production; working knowledge of modern C++ and production software development.

Pay

USD 130,000–220,000 per year (base salary)

Tools

Python, PyTorch, C++, TensorRT, ONNX Runtime, CUDA

AI focus

Machine learning for autonomous-vehicle planning, including trajectory generation, behavior planning, decision-making, and production deployment.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)