Member of Technical Staff, Infrastructure

Mirendil•United States, CA

About The Position

Mirendil 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 believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible. We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.

Requirements

Excited about building the infrastructure backbone of a frontier AI research lab.
Systems directly determine research velocity.

Responsibilities

Own the compute and cloud foundation that frontier AI research runs on.
Build systems that determine how fast models can be trained, how reliably experiments run, and how efficiently they scale.
Design isolated environments where agents and untrusted code can run, use tools, and reach external services (Sandboxing and secure execution).
Operate CPU and GPU clusters as one platform with scheduling, autoscaling, and multi-tenant isolation (Kubernetes and multi-cluster compute).
Understand the resource and scheduling demands of research, training, and inference workloads and build the platform capabilities those workloads need (Training and inference infrastructure).
Build the state management system to handle checkpointing, recovery, and resumption across failures (Infrastructure for long-running agents).
Build the networking layer across clouds, clusters, and hosts: routing, peering, load balancing, and network isolation (Networking).