Nuro
Software Engineer, ML Infrastructure Platform
$160K–$241K
Mountain View, California (HQ) +1 · Full-time · Posted Aug 11, 2026
- Location
- Mountain View, California (HQ)
Nuro HQ - Mountain View, CA - Experience
- 1+ years of relevant work experience.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field.
About the job
Build and operate reliable, large-scale ML training infrastructure and workflows for Nuro’s autonomous-driving systems.
What you'll do
- Contribute to multi-generation accelerator training infrastructure and multi-cluster scheduling and orchestration.
- Design and operate batch and streaming data pipelines for ingestion, storage, and high-throughput data generation.
- Develop reproducible, introspectable ML workflows and own reliability practices for critical training and release pipelines.
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, including reasoning about performance, failure modes, and reliability.
Nice to have
- Strong working knowledge of GCP.
- Experience with large-scale data generation pipelines, Kubernetes-native ML orchestration, GPU/distributed training internals, or GPU/training observability tooling.
Pay
$160,360 and $240,540 (USD, base salary)
Tools
Python, C++, Go, Kubernetes, GCP, GPU, NCCL
AI focus
Develop and operate infrastructure and agentic-first workflows for training, evaluating, and deploying machine-learning systems for autonomous driving, including distributed GPU training and closed-loop reinforcement learning.
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