Member of Technical Staff - Distributed Systems

🚀 Member of Technical Staff – Distributed Systems

📍 San Francisco, CA

🏢 Full-time | On-site

Join an early-stage AI infrastructure company building the orchestration layer for heterogeneous AI compute across CPUs, GPUs, and emerging accelerators.

You’ll help design and operate the distributed systems responsible for scheduling, routing, and coordinating AI workloads at scale.

🛠 What You’ll Do

• Build distributed scheduling, orchestration, and control-plane systems
• Improve reliability, fault tolerance, and workload placement across large-scale infrastructure
• Develop RPC, asynchronous messaging, and resource-management systems
• Build production APIs that abstract hardware complexity from customers
• Work on Kubernetes-adjacent infrastructure beyond simply operating clusters
• Collaborate across inference, runtimes, compilers, kernels, and hardware

🎯 What We’re Looking For

• Strong distributed systems experience in production
• Deep understanding of concurrency, failure modes, scalability, and system trade-offs
• Experience with Go, C++, or Python
• Exposure to scheduling, queues, RPC, control planes, or Kubernetes internals
• Strong evidence of personally building, debugging, or optimising complex systems
• Ability to clearly explain the impact of your work

🔥 Why Join

• High technical talent density
• Significant ownership from day one
• Direct access to experienced founders and engineers
• Hard infrastructure problems with real production impact
• Breadth across distributed systems, inference, compilers, kernels, and hardware
• Fast learning with fewer organisational layers