Senior ML Infra Engineer — Scale GPU Clusters + Equity

Nuro; Mountain View (CA); On-site; USD 193,930 - 291,150; Full time

Benefits offered by this job

Annual performance bonus

Equity options

Comprehensive benefits package

Job summary

Nuro is seeking a Software Engineer in Mountain View, CA, focused on building ML Infrastructure. You will design systems for automated resource provisioning, workload scheduling, and data processing to enhance the Nuro Driver™ development lifecycle.

The ideal candidate should have over 5 years of relevant experience and be familiar with tools like Terraform, Kubernetes, and Apache Spark. The position offers a competitive salary range and a comprehensive benefits package.

Qualifications

• 5+ years of experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
• Familiarity with Terraform, Pulumi, or Crossplane for Infrastructure as Code.
• Experience managing compute-heavy workloads (e.g., Kubernetes, Ray).
• Proficiency in a distributed processing framework like Apache Spark.
• Experience with feature caching solutions like Feast or Redis.

Responsibilities

• Scale automated infrastructure-as-code pipelines to manage thousands of GPU/CPU nodes.
• Design and optimize workload orchestration for maximized hardware utilization.
• Create robust pipelines for data extraction and transformation.
• Implement feature caching solutions for low-latency access.
• Contribute to a unified ML platform abstraction.

Skills

Machine Learning Infrastructure

Backend Platform Engineering

Distributed Systems

Infrastructure as Code (IaC)

Workload Orchestration

Data Processing

Tools

Terraform

Kubernetes

Apache Spark

Redis

Job description

Nuro is seeking a Software Engineer in Mountain View, CA, focused on building ML Infrastructure. You will design systems for automated resource provisioning, workload scheduling, and data processing to enhance the Nuro Driver™ development lifecycle.

The ideal candidate should have over 5 years of relevant experience and be familiar with tools like Terraform, Kubernetes, and Apache Spark. The position offers a competitive salary range and a comprehensive benefits package.