Member of Technical Staff, Performance and Scale

INFERACT SINGAPORE PTE. LTD.; Penarth; On-site; GBP 99,000 - 198,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Equity

Job summary

Inferact Singapore PTE. LTD. is seeking an infrastructure engineer to design and implement distributed systems powering inference at global scale. You will create the foundational layers that enable vLLM to serve models across thousands of accelerators with low latency and high reliability.

Fresh graduates welcome. Compensation ranges from S$15,000 to S$30,000 monthly plus equity, with medical, dental and vision benefits. This role offers a tangible impact on scalable AI infrastructure.

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.

Responsibilities

• Design and implement foundational layers for scalable inference infrastructure.
• Build distributed systems powering inference at global scale with low latency.
• Enable easy deployment of frontier models via scalable, serverless-oriented infrastructure.

Skills

Rust

Go

C++

Education

Bachelor's degree or equivalent

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

Fresh graduates are welcome to apply. Minimum years of work experience: 0.

Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity.

Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.