Senior Software Engineer, ML Infrastructure
Core
Design and operate high-performance, large-scale systems processing petabytes of vehicle data to train complex models for self-driving technology.
Role type
Senior IC ML Infrastructure Engineer
Builds
Robust ML infrastructure platforms and core services on Kubernetes
Domain
Autonomous Vehicles / Distributed Systems
Deliverable
production ML models
Required skills
Kubernetes (k8s), Python or Go, high-scale distributed systems, cloud provider platforms (AWS/GCP/Azure), end-to-end system ownership
Technologies
Kubernetes, Python, Go, AWS, GCP, Azure
Responsibilities
Design, build, and deploy core components of the ML infrastructure platform; Develop scalable services supporting the ML lifecycle from data ingestion to model evaluation; Write high-quality code for high-throughput systems handling petabytes of data; Own features and systems end-to-end from design to production deployment
Seniority
Senior, hands-on IC
