Job Description
📋 Description Own end-to-end architecture of Wayve's AI model lifecycle platform Oversee data ingestion, training, experiment scheduling, and on-road testing Balance reliability, scalability, and safety for researchers and engineers Set and execute technical vision with infrastructure and tooling alignment Lead across web apps, distributed compute, ML Ops, data pipelines, and optimization algorithms 🎯 Requirements Technical leadership at scale; 10+ years in distributed systems/ML infrastructure; 3+ years as Architectural depth across web platforms, ML pipelines, and compute orchestration (e.g., Spark Reliability and performance focus; experience driving SLAs/SLOs and observable systems Hands-on systems design; distributed computing, APIs, data modeling, production-grade coding Collaborative influence; strong communication and cross-functional leadership Mentorship and culture-building for engineering excellence 🎁 Benefits Competitive equity package Hybrid in Sunnyvale, CA; full-time role Supportive, inclusive culture with focus on impact
