Software Engineer, ML Infrastructure
Core
Building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources for Nuro's self-driving vehicle development.
Role type
Senior IC ML Infrastructure Engineer
Builds
Automated resource provisioning, high-performance workload scheduling, and efficient feature management systems for the Nuro Driver™ development lifecycle.
Domain
Autonomous driving / Physical AI / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Infrastructure-as-Code (Terraform, Pulumi, Crossplane), large-scale workload orchestration (Kubernetes, KubeRay, Ray, Slurm, Volcano), distributed data processing (Apache Spark, Apache Beam), feature store implementation (Feast, Hopsworks, Redis), distributed systems design, networking, storage bottlenecks management.
Preferred skills
Open-source contributions to MLOps/Cloud-Native ecosystems, high-performance storage systems (Lustre, Ceph, NVMe), cost-optimization strategies for GPU clusters.
Responsibilities
Scaling automated IaC pipelines to manage thousands of GPU/CPU nodes; designing and optimizing workload orchestration for massive-scale distributed training; designing robust pipelines for petabyte-scale sensor and telemetry data extraction and transformation; implementing robust feature caching and storage solutions; contributing to a unified ML platform that abstracts complex cloud infrastructure.
Seniority
Senior, hands-on IC
