Nuro
Senior Software Engineer, ML Infrastructure Platform
$194K–$291K
Mountain View, California (HQ) +1 · Senior · Full-time · Posted Aug 11, 2026
- Location
- Mountain View, California (HQ)
Nuro HQ - Mountain View, CA - Experience
- 3+ years of relevant work experience.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field.
About the job
Builds and operates reliable, large-scale ML infrastructure and workflows for training and evaluating autonomous-driving models.
What you'll do
- Contribute to training infrastructure across accelerators, clusters, scheduling, and orchestration.
- Design and develop large-scale data pipelines and agentic-first ML workflows.
- Improve reliability of training and release pipelines through instrumentation, alerting, and incident-response practices.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field.
- Strong proficiency in Python and comfort with C++, Go, or a similar systems language.
- Hands-on experience running production infrastructure on Kubernetes.
- Solid distributed-systems fundamentals and ability to reason about performance, failure modes, and reliability.
Nice to have
- Strong working knowledge of GCP.
- Experience with large-scale data generation pipelines or Kubernetes-native orchestration for ML workloads.
Pay
$193,930 and $291,150 USD base salary
Tools
Python, C++, Go, Kubernetes, GCP, NCCL
AI focus
Builds infrastructure and workflows for ML model training, evaluation, and closed-loop reinforcement learning for autonomous driving.
Model-written summary · the original posting is authoritative