Principal Engineer, Model Development Platform
Core
Designing and evolving the architecture for Wayve's AI model lifecycle platform, enabling safe iteration and deployment of autonomous driving models. (via careerplan.io/jobs/2280ca5e-e88e-4b23-ac47-fd1b27c3f54e-principal-engineer-model-development-platform-at-wayve)
Role type
Principal Engineer, Model Development Platform
Builds
Infrastructure and tooling for data ingestion, training, experiment scheduling, and on-road testing of autonomous driving models.
Domain
Autonomous driving, AI infrastructure, distributed systems
Deliverable
infrastructure
Required skills
Large-scale distributed systems design, ML/AI infrastructure, full-stack web applications, system architecture, observability, optimization algorithms, data pipeline design, compute orchestration
Preferred skills
Algorithmic/mathematical optimization, end-to-end model lifecycle tooling, autonomous systems/robotics, modern web frameworks, data privacy compliance
Technologies
Spark, Ray, Kubernetes, Airflow, MLflow, React, Flask, FastAPI, GPU, CPU, cloud, edge
Responsibilities
Define end-to-end platform architecture and technical vision; lead architectural reviews and solve hardest cross-domain problems; build experiment scheduling systems using linear programming/heuristics; architect petabyte-scale data pipelines and efficient compute usage; mentor engineers and align platform roadmap with product/research needs.
Seniority
Principal, hands-on IC with strategic leadership
