Job Description
📋 Description Bridge ML innovation and autonomy infrastructure to ensure high‑quality data for perception models. Architect hybrid systems combining deep learning and classical algorithms for scalable data Design frameworks to quantify synthetic data fidelity and improve rendering quality. Build tools to surface data gaps impacting perception model performance. Collaborate with autonomy engineers to turn raw sensor streams into training priorities. Work across autonomy, infrastructure, databases, simulation, and ML development in Robotics. 🎯 Requirements BS in Computer Science, Robotics, Statistics, Physics, Math or quantitative field. 4+ years of industry software engineering with Python; C/C++ familiarity; ability to lead Practical experience implementing ML solutions integrated into real‑world systems. Strong data engineering and systems mindset; focus on deployable, end‑to‑end impact. 🎁 Benefits Competitive base pay with potential for annual performance bonus and equity. Comprehensive benefits package. Location: Mountain View HQ with on‑site collaboration.
