Verified current Job

Member of Technical Staff, Performance and Scale

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 maintainer

Job Full source details
Inferact Singapore Source published Sep 20, 2026 Verified 14 hours ago
✓ 100% verification score · Source: Inferact (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time

Overview

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 maintainer

Full 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.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

laptop-ats-crawler v2

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Inferact (ashby) ↗

Browse current Job and Scholarship listings from Inferact (ashby) →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books