Feeny
Mirendil

Member of Technical Staff, Infrastructure at Mirendil (San Francisco, CA)

Mirendil· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job description

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 are building a frontier AI research company and training our own models end-to-end.

The Role

We are looking for an Infrastructure Engineer to own the compute and cloud foundation that frontier AI research runs on. The systems you build determine how fast we can train models, how reliably experiments run, and how efficiently we scale. Some example areas you might work on:

  • Sandboxing and secure execution - design isolated environments where agents and untrusted code can run, use tools, and reach external services
  • Kubernetes and multi-cluster compute - operate CPU and GPU clusters as one platform with scheduling, autoscaling, and multi-tenant isolation
  • Training and inference infrastructure - understand the resource and scheduling demands of research, training, and inference workloads and build the platform capabilities those workloads need
  • Infrastructure for long-running agents - build the state management system to handle checkpointing, recovery, and resumption across failures
  • Networking - build the networking layer across clouds, clusters, and hosts: routing, peering, load balancing, and network isolation

If you're excited about building the infrastructure backbone of a frontier AI research lab - where your systems directly determine research velocity - we'd love to hear from you.

We offer a base salary of $300,000–$400,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.

Why work at Mirendil

  • Engineering culture: “Small team, singular focus. We hire to compound, not to grow.” The team of ~20 operates with high autonomy and ownership.
  • Cutting-edge work: Opportunity to work on one of the most ambitious AI projects – automating the very process of AI research.
  • Team composition: Colleagues from Anthropic, xAI, DeepMind, OpenAI; founders known for foundational contributions (SAM optimizer, Blueshift/Mirerva).
  • Work environment: Based in San Francisco; likely in-office given the intensity of the work (remote/hybrid policy not publicly detailed).
  • Notable perks: Direct exposure to frontier model training and infrastructure; chance to shape a company from its earliest stage.

Application questions