A leading tech innovator is seeking a seasoned Backend Data Engineer to build highly efficient, resilient systems and pipelines for large-scale data processing across thousands of GPUs! 🌟
🌟 Role Highlights
- Team & Mission: Join the Applied Research team to work on mission-critical projects leveraging massive GPU clusters
-Work Model: Hybrid remote (Palo Alto, CA)
- Compensation: $150K–$300K + Equity
- Department: Product Engineering
📊 Key Responsibilities
- Design, build, and automate infrastructure for data processing across clusters of thousands of GPUs
- Collaborate with researchers to identify and implement technical data requirements, optimizing distributed loading for model training
- Work cross-functionally to solve diverse backend engineering challenges
- Develop high-performance infrastructure to manage and leverage large-scale datasets for model training
💡 Requirements
- 🐍 Python Expertise: Strong generalist coding skills with robust system design experience
- 🏗️ Big Data Infrastructure: 5+ years of engineering experience, including 2+ years in petabyte-scale data processing (mandatory)
- 🚀 Cluster Orchestration: Deep knowledge of Kubernetes, SLURM, Ray, or similar cluster management systems
- 🔍 Plus: Experience with visual data processing or ML engineering background
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