Member of Technical Staff, Cloud Infrastructure, Singapore

Fireworks AI
Singapore
Workplace: OnsiteFull timeSGD 180,000 - 250,000 annuallyFunction: Product ManagementExperience: 3+ yearsEducation: bachelorsSkills: []

Design and develop core backend systems that power high-performance generative AI inference. Build efficient, scalable components for AI workloads and improve stability across compute, storage, and networking. Lead through design/code reviews and collaborate with cross-functional partners while continuously analyzing and optimizing infrastructure performance for low-latency, scalable model serving.

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FursaFursa
Fireworks AI
Fireworks AI
1 month ago

Member of Technical Staff, Cloud Infrastructure, Singapore

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design and develop core backend systems that power high-performance generative AI inference. Build efficient, scalable components for AI workloads and improve stability across compute, storage, and networking. Lead through design/code reviews and collaborate with cross-functional partners while continuously analyzing and optimizing infrastructure performance for low-latency, scalable model serving.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Design and build core backend software components to ensure efficiency, scalability, and stability of system resources.
  • •Conduct design/code reviews and collaborate with cross-functional teams.
  • •Analyze and optimize infrastructure efficiency for AI workloads across compute, storage, and networking.

Pay and Benefits

Salary: SGD 180,000 - 250,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree in Computer Science/Computer Engineering or a relevant technical field, or equivalent practical experience.
  • •3+ years experience working in ML infrastructure (e.g., PyTorch, Vertex AI, Sagemaker).
  • •Experience building, scaling, and optimizing enterprise-grade machine learning systems.
  • •Experience in AI or large-scale infrastructure.
  • •Master’s or PhD in Computer Science/Computer Engineering or equivalent practical experience.
Experience:3+ years
Education:Bachelor's in Computer Science, Computer Engineering
Tech Stack:PyTorchVertex AISageMaker

Company Brief

Fireworks AI
Develops AI-driven tools to generate and optimize visual marketing content for brands and creators, automating production of short-form videos and multimedia assets for social platforms to improve engagement and scale creative workflows.
Industry: SaaS
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