Member of Technical Staff
Inferact
Member of Technical Staff
Inferact
Open-source LLM inference engine with scalability
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.
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.
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.
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.
Inferact builds AI inference infrastructure centered on vLLM, an open-source large language model inference engine. It offers a managed inference service for enterprises with serverless deployment, observability, troubleshooting, disaster recovery, and multi-tenant Kubernetes scaling. vLLM uses PagedAttention to optimize GPU memory, lowering costs and latency while preserving model quality, and Inferact supports new architectures and hardware under vendor-neutral governance with PyTorch Foundation. The goal is to commoditize AI inference and deliver a production-ready operating layer for the AI stack.
Explore more opportunities at Inferact