Senior Infrastructure Engineer - vLLM AI Inference

inferact Singapore
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AI Summary

Design and implement distributed systems for global-scale AI inference, making AI cheaper and faster. Key responsibilities include building high-performance systems, understanding network protocols, and ensuring reliability.

Key Highlights
Build distributed systems for global-scale AI inference
Design and implement high-performance systems
Ensure reliability and minimal latency
Key Responsibilities
Design and implement the foundational layers for vLLM to serve models across thousands of accelerators
Ensure minimal latency and maximum reliability in AI inference
Understand and leverage network protocols and high-performance I/O
Technical Skills Required
Rust Go C++
Benefits & Perks
Competitive salary (SGD 200K - SGD 400K)
Equity
Medical, dental, and vision coverage
Nice to Have
Experience with ML serving infrastructure and disaggregated inference architecture
Familiarity with GPU programming models and memory hierarchies
Knowledge of GPU interconnects (NVLink, InfiniBand, RoCE)

Job Description


Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build.

About The Role

We're looking for an infrastructure engineer to build the distributed systems that power inference at global scale. You'll design and implement the foundational layers that enable vLLM to serve models across thousands of accelerators with minimal latency and maximum reliability. Tomorrow, deploying a frontier model at scale should be as straightforward as spinning up a serverless database. The complexity doesn't disappear as it gets absorbed into the infrastructure you're building.

Skills And Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
  • Strong systems programming skills in Rust, Go, or C++.
  • Experience designing and building high-performance distributed systems at scale.
  • Understanding of network protocols and high-performance I/O.
  • Ability to debug complex distributed systems issues.

Preferred qualifications:

  • Experience with ML serving infrastructure and disaggregated inference architecture.
  • Familiarity with GPU programming models and memory hierarchies.
  • Knowledge of GPU interconnects (NVLink, InfiniBand, RoCE) and their performance characteristics.
  • Track record of improving system reliability and performance at scale.

Bonus points if you have:

  • Prior experience in supporting large‑scale model training or inference environments.

Logistics

  • Location: This role is based in Singapore.
  • Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is S$200,000 to S$400,000 annually + equity.
  • Visa sponsorship: We sponsor visas on a case-by-case basis.
  • Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.

Compensation Range: SGD 200K - SGD 400K


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