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Member of Technical Staff, Distributed Systems Engineer

Mirendil· Tech
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San Francisco$300k - $400kFull-timePosted 3w ago

About the role

Mirendil is a tech-first company focused on solving core bottlenecks to enable frontier AI R&D. The role focuses on system bottlenecks, performance engineering, and reliable distributed systems to maximize compute goodput across heterogeneous workloads.

Responsibilities

  • 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

Skills

Required:AI workload and system co-designPerformance engineeringReliable distributed systems
Nice to have:Heterogeneous compute and workloads

Benefits

  • base salary of $300,000–$400,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Mirendil

Mirendil — a frontier lab building systems that excel at AI R&D.

AI R&Dfrontier AIdemocratize frontier AI R&Dsystems that excel at AI R&D
Company profileWebsite

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