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Jobs / Platform Engineer in United States of America
3 months ago
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Mirendil·3 months ago
3 months ago

Member of Technical Staff, Infrastructure

San Francisco, United States of AmericaFull-timeOn-siteSenior · 8-12 yearsPlatform Engineer

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Must-have skills for this role

  • kubernetes
  • gpu
  • infrastructure engineering
  • networking

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Apply faster with autofill FREEmirendil uses Ashby - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

Company

Mirendil
San Francisco, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Mirendil's careers site·first seen 7 Aug 2026·last verified 8 Sept 2026·How we source jobs

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