Simular
Software Engineer, Agent Infrastructure
9mo ago
Worldwidepythongorustcloud infrastructureci/cddistributed systemsvirtualization
Generalist backend/infrastructure engineer responsible for designing and scaling backend systems, APIs, and infrastructure for AI-powered user agents.
Other
- Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.
- 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.
- 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’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.