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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 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

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

Do you match this job?

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  • Role Member of Technical Staff, Distributed Systems Engineer
  • Experience 8-9 years
  • Work type On-site
  • Location United States
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Mirendil
AI & Machine Learning · 500+ Members

Mirendil is an AI research lab building self-accelerating systems for scientific and engineering discovery. Its work focuses on systems that can improve AI research and development itself, turning additional compute into faster progress on technically ambitious goals. The company aims to make advanced research capabilities available beyond a small number of frontier labs. Mirendil is initially oriented toward difficult scientific domains such as biology and materials, where better models, experiments, and iterative research loops could materially accelerate discovery.

All jobs at Mirendil

103 more Infrastructure & Platform Engineer roles in San Francisco

Job Overview

Approx. salary range

209K – 286K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 38 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Experience
8-9 years

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