Tech Stack

Description

You will build and evolve the core platform that provides researchers and engineers with seamless access to compute and data resources, focusing on automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver development lifecycle.

Requirements

• 3+ years experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems
• Deep familiarity with IaC tools such as Terraform, Pulumi, or Crossplane
• Hands-on experience with workload orchestrators like Kubernetes, Ray, or Slurm
• Proficiency in distributed processing frameworks such as Apache Spark or Apache Beam
• Experience with feature stores and caching layers like Feast or Redis

Responsibilities

• Scale automated IaC pipelines to manage thousands of GPU/CPU nodes
• Design and optimize workload orchestration for distributed training
• Build robust data ETL pipelines for petabyte-scale sensor and telemetry data
• Implement feature caching and storage solutions to reduce redundant computations
• Contribute to a unified ML platform that abstracts cloud infrastructure