Member of Technical Staff, Generalist Systems Engineer

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 believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible.

We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.

The Role

We are looking for a generalist systems engineer to help build and scale the infrastructure that powers everything we do at Mirendil. You'll work across the entire full stack, owning hard problems end-to-end and collaborating directly with researchers to accelerate our work, such as model training, data pipelines, and developer tooling. Some example areas you might work on (not limited to):

• Design and maintain data infrastructure and pipelines that support research, training, and evaluation at scale

• Build developer productivity tooling, frameworks, and systems so researchers and engineers can move faster with fewer interruptions

• Contribute to core infrastructure reliability: monitoring, alerting, incident response, and on-call health

• Build and operate large-scale compute infrastructure: Kubernetes clusters with GPU workloads, scheduling systems

If you're excited about building the systems backbone of a frontier AI research lab, we'd love to hear from you.

We offer a base salary of $350,000–$500,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.