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Software Engineer - Agent Infrastructure

SimularSingapore
On-site Full-time

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Experience Level

Experience

Qualifications

Candidates should demonstrate a strong understanding of programming principles, have relevant experience in backend systems, and be adaptable to evolving technologies. A proactive approach to problem-solving and a willingness to engage in complex projects is essential.

About the job

As a leading innovator, Simular is creating the future of computer user agents, developing AI systems that can operate your computer on your behalf. Our backend infrastructure powers everything from live VM orchestration to agent planning and execution.

We seek a versatile backend/infrastructure engineer who excels in uncertain environments, possesses strong architectural instincts, and is eager to take ownership of substantial and evolving components of our system. This role is not limited to traditional 'DevOps' or 'API engineer' functions; you'll play a pivotal role in shaping our platform's scalability and evolution for years to come.

Key Responsibilities

  • Architect and scale the systems that support Simular Cloud and our cross-platform agents.

  • Oversee essential backend services, including APIs, data flows, billing systems, observability, and deployment pipelines.

  • Address complex infrastructure challenges such as VM orchestration, reproducibility, parallel execution, and reliability.

  • Identify opportunities to split or refactor services and lead that evolution.

  • Explore new avenues as products expand, including microVMs, multi-agent orchestration, fine-tuned model endpoints, and community task galleries.

  • Collaborate with product teams and researchers to transform ideas into production-ready systems.

Ideal Candidate Attributes

  • Proficient in programming fundamentals with solid skills in languages such as Python, Go, Rust, or similar.

  • Experience with some aspects of cloud infrastructure, distributed systems, virtualization, and CI/CD; most importantly, the ability to learn and adapt to new technologies as required.

  • Think architecturally, understanding when to hack and when to design for long-term success.

  • Comfortable managing large, ambiguous problems from start to finish.

  • Bonus: Experience with GPU scheduling, large-scale ML infrastructure, or scaling SaaS applications.

About Simular

Simular is at the forefront of developing innovative AI systems designed to automate computer operations. With a focus on backend technologies, we aim to revolutionize user experience through advanced agent infrastructure.

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