Member of Technical Staff, Performance and Scale
At a glance
Senior Software Engineering role at Inferact. Singapore · full-time · SGD 200,000–SGD 400,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build distributed infrastructure that lets vLLM serve models across large accelerator fleets with low latency and high reliability
- Design and implement foundational systems for inference at scale
- Debug complex problems across distributed systems
- Improve system performance and reliability across large deployments
What you bring
- A computer science, engineering or similar degree, or equivalent practical experience
- Strong systems programming ability in Rust, Go or C++
- Experience building high-performance distributed systems at scale
- Knowledge of network protocols and high-performance I/O, plus the ability to troubleshoot distributed systems
Who this fits
This senior infrastructure role suits an engineer focused on distributed systems and inference performance. It is based on-site in Singapore. Visa sponsorship is considered case by case.
From the employer
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.
Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Software Engineering
Find me workBy the team behind techroles.