🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale compute infrastructure for high-performance AI workloads across distributed environments. You'll improve system performance and reliability through profiling and benchmarking. You'll collaborate across teams to build automation and tooling for provisioning and lifecycle management.

🎯 What You'll Do

• Design and optimize large-scale compute infrastructure for AI workloads
• Develop and operate compute, networking, and storage systems
• Improve performance through profiling, benchmarking, and optimization
• Build automation for provisioning, monitoring, and incident response

📋 Requirements

• Strong software engineering background with production-grade infrastructure experience
• Experience in distributed systems or related areas
• Solid understanding of system-level performance optimization
• Ability to work across hardware, software, and networking layers

✨ Nice to Have

• Familiarity with GPU infrastructure, RDMA, or NCCL
• Experience with Kubernetes or observability tools

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with market standards
• 🏥 Comprehensive health, dental, and vision insurance
• 🏡 Flexible work arrangements supporting distributed teams
• 🚀 Cutting-edge AI infrastructure at massive scale
• 🌱 Professional growth in a research-driven environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min