Nuro
Senior Software Engineer, ML Infrastructure
$194K–$291K
Mountain View, California (HQ) +1 · Senior · Full-time · Posted Jun 16, 2026
- Location
- Mountain View, California (HQ)
Nuro HQ - Mountain View, CA - Experience
- 4+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
About the job
Build and evolve ML infrastructure that gives researchers and engineers scalable access to compute and data for autonomous-driving model development.
What you'll do
- Automate provisioning and scheduling of large-scale compute resources, including GPU and CPU nodes.
- Build distributed data pipelines and feature storage or caching for ML workloads.
- Develop a unified 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 workload orchestration tools such as Kubernetes, KubeRay, Ray, Slurm, or Volcano.
- Proficiency with a distributed data processing framework such as Apache Spark or Apache Beam.
- Experience with feature stores or caching layers, plus understanding of distributed systems, networking, and storage bottlenecks.
Nice to have
- Open-source contributions in MLOps or cloud-native projects.
- Experience with high-performance storage or GPU-cluster cost optimization in public clouds.
Pay
$193,930 and $291,150 USD base salary
Tools
Terraform, Pulumi, Crossplane, Kubernetes, KubeRay, Ray, Slurm, Apache Spark
AI focus
Build infrastructure and data platforms for ML experimentation, distributed training, and production model development for autonomous driving.
Model-written summary · the original posting is authoritative