Principal Engineer, Model Development Platform
Core
Own the end-to-end architecture for Wayve's AI model lifecycle, enabling researchers to iterate fast and deploy autonomous driving models safely.
Role type
Principal Engineer, Model Development Platform
Builds
Reliable, scalable platform for data ingestion, training, experiment scheduling, and on-road testing for autonomous driving models.
Domain
Autonomous driving, Embodied AI, large-scale distributed systems
Deliverable
production ML models | infrastructure
Required skills
Large-scale distributed systems design, ML/AI infrastructure, full stack web application, developer platforms, system architecture, observability, SLA/SLO definition, distributed computing, workflow orchestration, data modeling, API design
Preferred skills
Algorithmic/mathematical optimization, ML Ops tooling, autonomous systems/robotics domain experience, modern web frameworks, data governance
Technologies
Spark, Ray, Kubernetes, Airflow, MLflow, React, Flask, FastAPI
Responsibilities
Design and evolve platform architecture for reliability and scalability; unify platform across disciplines from UIs to distributed training; solve hard technical challenges and lead architectural reviews; build systems for optimizing simulation and on-road testing; architect pipelines for petabytes of fleet sensor data; partner with Product, Research, and Operations on roadmap.
Seniority
Principal, hands-on IC with strategic leadership
