Mirendil
Member of Technical Staff, Distributed Systems Engineer
$300K–$400K
San Francisco · On-site · Staff · Full-time · Posted Sep 29, 2026
About the job
Improve compute goodput by identifying and addressing performance and reliability bottlenecks in distributed AI systems.
What you'll do
- Co-design AI workloads, execution, and hardware to improve performance across the stack.
- Profile systems and optimize performance and resource use.
- Design reliable distributed systems and efficiently run mixed workloads across CPUs and accelerators.
Pay
$300,000–$400,000 USD base salary
Tools
CPUs
AI focus
The role supports frontier AI R&D by optimizing systems for training, inference, and agent workloads.
Model-written summary · the original posting is authoritative