🛠 Tech Stack

💼 About This Role

You'll build the platform powering Nuro's self-driving model development from experimentation to production. Your work on resource provisioning and workload scheduling will accelerate the Nuro Driver lifecycle. This role offers the chance to shape large-scale distributed systems for autonomous vehicle ML.

🎯 What You'll Do

• Scale IaC pipelines for thousands of GPU/CPU nodes
• Design workload orchestration to maximize hardware utilization
• Build petabyte-scale data ETL pipelines for ML readiness
• Implement feature caching and storage solutions

📋 Requirements

• 3+ years of experience in ML Infrastructure or Distributed Systems
• Deep familiarity with Terraform, Pulumi, or Crossplane
• Hands-on experience with Kubernetes, Ray, or similar orchestrators
• Proficiency in Apache Spark or Apache Beam for data processing

✨ Nice to Have

• Active contributor to open-source MLOps projects (e.g., CNCF, Ray, Kubeflow)
• Experience with high-performance storage systems like Lustre or Ceph
• Knowledge of cost-optimization for GPU clusters on AWS/GCP/Azure

🎁 Benefits & Perks

• 💰 Annual performance bonus
• 📈 Equity compensation
• 🏥 Competitive benefits package

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min