about 5 hours ago
Foster City, CA, USA or Seattle, WA, USAMid Level / Senior
H1B Sponsor
Base Salary
$151k - $257k/yr
Responsibilities
- Develop and optimize GPU-based simulation frameworks for ML training.
- Apply reinforcement learning to solve behavioral and path planning challenges.
- Identify and resolve fidelity gaps between simulations and real-world execution.
- Build systems for autonomy users to self-serve data generation.
- Write robust, production-ready code for ML algorithm integration.
Requirements
- PhD or Master’s in computer science, robotics, machine learning, or related field.
- Deep understanding of reinforcement learning in simulated environments.
- Hands-on experience with deep learning models using frameworks like JAX or PyTorch.
- Strong proficiency in C++ and Python for production ML systems.
- Experience analyzing fidelity gaps between synthetic data and real-world execution.