Software Engineer, Agent Infrastructure

About the role

At Simular we are 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 need a generalist backend/infrastructure engineer who thrives in ambiguity, has strong architectural instincts, and wants to own big, evolving pieces of our platform.

Key responsibilities

• Design and scale the systems behind Simular Cloud and our cross‑platform agents.
• Own critical backend services such as APIs, data flows, billing, observability, and deployment pipelines.
• Tackle hard infrastructure challenges including VM orchestration, reproducibility, parallel execution, and reliability.
• Identify when services need to be split or refactored 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 teams to turn ideas into production systems.

Required profile

• Strong programmer with solid fundamentals in languages such as Python, Go, or Rust.
• Experience with cloud infrastructure, distributed systems, virtualization, CI/CD, and the ability to quickly learn new technologies.
• Architectural mindset – knows when to hack and when to design for the long term.
• Comfortable owning large, ambiguous problems end‑to‑end.
• Bonus: experience with GPU scheduling, large‑scale ML infrastructure, or scaling SaaS systems.

Required skills

• Python
• Go
• Rust
• Cloud infrastructure
• Distributed systems
• Virtualization
• CI/CD
• GPU scheduling
• Large‑scale ML infrastructure
• SaaS scaling