Staff Software Engineer, Data Enrichment Platform
Core
Own the technical vision and architecture for a platform enabling teams to deploy, run, evaluate, and improve machine-learning models using petabytes of driving data.
Role type
Staff Software Engineer (AI Platform Infrastructure)
Builds
End-to-end Data Enrichment Platform for model deployment, execution, evaluation, and retraining
Domain
Autonomous driving / Computer vision / AI Infrastructure
Deliverable
production ML models
Required skills
Python, distributed systems, platform architecture, hands-on engineering, cross-team leadership, technical strategy
Preferred skills
workflow orchestration (Flyte, Airflow, Dagster, Argo), large-scale batch inference, Spark/Databricks/Ray, Kubernetes, GPU infrastructure, annotation platforms, active learning, robotics workloads
Technologies
Python, Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes
Responsibilities
Define technical vision and architecture; Lead backend service and API development; Build scalable inference and evaluation systems; Partner on data locality and capacity; Make build/buy/reuse decisions; Establish technical boundaries; Remain hands-on while mentoring; Define service levels and success metrics
Seniority
Staff, hands-on IC with strategic scope
