
Member of Technical Staff, Cloud Infrastructure, Singapore
About this role
Fireworks AI is seeking a full-time Member of Technical Staff for Cloud Infrastructure based in Singapore to design and scale high-performance backend systems for generative AI workloads. This on-site engineering role is ideal for professionals with a background in machine learning infrastructure who want to build the future of enterprise AI platforms.
Role Overview
As a Backend Software Engineer at Fireworks AI in Singapore, the chosen candidate will take charge of designing and developing core backend architectures that drive a high-performance generative AI platform. The position centers on guaranteeing optimal system resource efficiency, scalability, and stability while managing intensive AI workloads. Team members work directly with advanced technology that influences how developers and businesses globally utilize artificial intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Fireworks AI operates as a platform for specialized intelligence, helping enterprises build, train, and deploy AI models tailored specifically to their proprietary data, workflows, and products. Established by the founding team behind PyTorch, the Series D organization is backed by prominent investors including AMD, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV. The company provides the generative AI marketplace with top-tier model quality and fast, scalable inference capabilities.
How to Apply
To submit an application for this opportunity, please visit the official Fireworks AI careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Cloud Infrastructure role?
The position is located in Singapore.
What is the salary range for this position?
The annual salary is between 180,000 and 250,000 SGD.
How many years of experience are required?
Candidates must have 3+ years of experience working in machine learning infrastructure.
What qualifications are preferred for applicants?
Preferred qualifications include experience in AI or large-scale infrastructure, as well as holding a Master's or PhD degree in Computer Science, Computer Engineering, or a relevant technical field.
How can I apply for this job?
Interested candidates should apply directly on the official company careers page.