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Nuro Posted 30+ days ago

Senior Software Engineer, ML Infrastructure

Location

San Francisco

Contract

Permanent

Full-time

Salary

Not disclosed

Experience

4+ years

Senior level

What they're looking for

  • Experience: 4+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
  • Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane.
  • Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano).
  • Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation.
  • Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching).

Tech stack

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