Principal Engineer, Model Development Platform
Core
Own 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 of autonomous driving models.
Domain
Autonomous driving, AI research, large-scale distributed systems
Deliverable
production ML models | infrastructure
Required skills
Large-scale distributed systems design, ML/AI infrastructure, full stack web application development, developer platforms, system architecture, observability, SLA/SLO definition, hands-on systems design, API design, cross-functional collaboration, engineering mentorship
Preferred skills
Algorithmic/mathematical optimization (linear programming, graph algorithms), ML Ops and experimentation systems, autonomous systems/robotics domain experience, full-stack fluency (React, Flask, FastAPI), data governance
Technologies
Spark, Ray, Kubernetes, Airflow, MLflow, GPU, CPU, cloud, edge
Responsibilities
Design and evolve platform architecture for reliability and scalability; unify platform across disciplines (UI, distributed training, data pipelines); solve hard technical challenges and lead architectural reviews; build experiment optimization systems; architect data and compute pipelines for petabyte-scale sensor data; partner with Product, Research, and Operations on roadmap.
Seniority
Principal, hands-on IC with strategy & mentorship
