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At Simular, we’re building the next generation of computer user agents - AI systems that can actually use your computer for you. Our backend powers everything from live VM orchestration to agent planning and execution.
We’re looking for a generalist backend/infrastructure engineer who thrives in ambiguity, has strong architectural instincts, and wants to own big, evolving pieces of our system. This isn’t a narrow “DevOps” or “API engineer” role - you’ll be shaping how our platform scales and evolves over the next few years.
What you’ll do
Design and scale the systems behind Simular Cloud and our cross-platform agents.
Own critical backend services: APIs, data flows, billing, observability, deployment pipelines.
Tackle hard infra challenges: VM orchestration, reproducibility, parallel execution, reliability.
Spot when it’s time to split/refactor services and lead that evolution.
Explore new directions as the product grows - from microVMs to multi-agent orchestration, fine-tuned model endpoints, or community task galleries.
Collaborate with product and research to turn ideas into production systems.
You might be a fit if
You’re a strong programmer with solid fundamentals (Python, Go, Rust, or similar).
You have experience with some of: cloud infra, distributed systems, virtualization, CI/CD — but more importantly, you can pick up whatever’s needed.
You think in terms of architecture, not just code: you know when to hack and when to design for the long run.
You’re comfortable owning big ambiguous problems end-to-end.
Bonus: you’ve touched GPU scheduling, large-scale ML infra, or scaling SaaS systems.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Simular is a company focused on bringing AI agents into the real world, contributing to core product development and infrastructure scaling.