Member of Technical Staff, Distributed Systems Engineer
TLDR
Optimize compute goodput through AI workload co-design, performance engineering, reliable distributed systems, and heterogeneous workloads.
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.
Benefits
Equity Compensation
a meaningful equity grant
Other Benefit
competitive benefits
Mirendil is a tech-first company dedicated to accelerating scientific discovery through pioneering AI research and development. We democratize access to advanced AI tools across various scientific disciplines, focusing on model training, reinforcement learning, and the infrastructure needed for large-scale experiments. Our team comprises leading experts from top tech firms, driving innovation that enhances the future of humanity.