Nuro
Software Engineer, ML Infrastructure
$160K–$241K
Mountain View, California (HQ) +1 · Full-time · Posted Jun 16, 2026
- Location
- Mountain View, California (HQ)
Nuro HQ - Mountain View, CA - Experience
- 3+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
About the job
Build and evolve the ML infrastructure platform that gives engineers and researchers scalable access to compute and data for model development, from experimentation through production.
What you'll do
- Scale infrastructure-as-code pipelines to provision GPU and CPU nodes, and optimize workload scheduling and orchestration.
- Build pipelines to transform large-scale sensor and telemetry data into ML-ready formats; implement feature caching and storage.
- Contribute to a unified ML platform that abstracts cloud infrastructure for end users.
What they ask for
- Familiarity with infrastructure-as-code and provisioning tools such as Terraform, Pulumi, or Crossplane.
- Hands-on experience with large-scale compute workload orchestrators such as Kubernetes, KubeRay, Ray, Slurm, or Volcano.
- Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam.
- Experience with feature stores or caching layers, and strong understanding of distributed systems, networking, and storage bottlenecks in high-performance computing.
Nice to have
- Open-source contributions in MLOps or cloud-native ecosystems.
- Experience with high-performance storage systems or cost optimization for large-scale GPU clusters in public clouds.
Pay
$160,360 and $240,540 USD base salary
Tools
Terraform, Pulumi, Crossplane, Kubernetes, KubeRay, Ray, Slurm, Apache Spark
AI focus
Build infrastructure for ML model development, including large-scale distributed training, data processing, and feature management.
Model-written summary · the original posting is authoritative