Member of Technical Staff, Distributed Systems Engineer

Mirendil•San Francisco, CA

About The Position

Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end. The Role We have a lot of compute, and a lot more work for it. We’re looking for a Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with. Your work determines how much goodput we get out of our compute. Some example areas you might work on: AI workload and system co-design - rethink the AI application, execution, and hardware choices together to improve performance across the stack Performance engineering - profile across the stack, find where time and resources go, and fix what matters Reliable distributed systems - design how work and data move across machines, balancing parallelism, communication, and correctness under load and failure Heterogeneous compute and workloads - make large-scale mixes of sandboxes, agent harnesses, training, and inference run efficiently together across CPUs and accelerators

Requirements

Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with.

Responsibilities

Find bottlenecks and move them somewhere we can live with.
Determine how much goodput we get out of our compute.
Rethink AI application, execution, and hardware choices together to improve performance across the stack.
Profile across the stack, find where time and resources go, and fix what matters.
Design how work and data move across machines, balancing parallelism, communication, and correctness under load and failure.
Make large-scale mixes of sandboxes, agent harnesses, training, and inference run efficiently together across CPUs and accelerators.