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Salary
$116k – $386k per year (Estimated)
Location
In office (Singapore, Palo Alto)
Employment
Full-Time
Overview
Company
Impact
Profile match
Simular is an artificial intelligence company based in Palo Alto, California, and was founded in 2023. The company develops autonomous AI agents, such as its Sai co-worker and S2 framework, which automate complex digital tasks by interacting directly with computer interfaces and web browsers. It operates as a venture-backed startup focusing on the research and deployment of computer-use models for knowledge workers and enterprise teams.

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.

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.

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