Fireworks AI

4 weeks ago

Member of Technical Staff, Cloud Infrastructure, Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Design and develop core backend systems that power a high-performance generative AI platform, with a focus on efficiency, scalability, and stability for AI workloads. Own backend components, run design and code reviews, and collaborate with cross-functional teams. Continuously analyze and optimize infrastructure efficiency across compute, storage, and networking to support low-latency inference and 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 and code reviews and collaborate with cross-functional teams.
•Continuously analyze and optimize infrastructure efficiency for AI workloads, including compute, storage, and networking.
•Build backend systems that power a high-performance generative AI platform for low-latency inference and scalable model serving.

Pay and Benefits

Salary: SGD 180,000 - 250,000 annually

Key Requirements

•Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
•3+ years of experience 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 a related technical field (or equivalent practical experience).

Experience:3+ yearsMachine learningML infrastructureEnterprise AILarge-scale infrastructure

Skills:CollaborationCode reviewInfrastructure optimizationScalability focusSystems design

Languages:English

Tech Stack:PyTorchVertex AISagemakerMachine learningLLM inferenceFunction callingMultimodal models

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

Website

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Fireworks AI

4 weeks ago

Member of Technical Staff, Cloud Infrastructure, Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

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 and code reviews and collaborate with cross-functional teams.
•Continuously analyze and optimize infrastructure efficiency for AI workloads, including compute, storage, and networking.
•Build backend systems that power a high-performance generative AI platform for low-latency inference and scalable model serving.

Pay and Benefits

Salary: SGD 180,000 - 250,000 annually

Key Requirements

•Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
•3+ years of experience 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 a related technical field (or equivalent practical experience).

Experience:3+ yearsMachine learningML infrastructureEnterprise AILarge-scale infrastructure

Skills:CollaborationCode reviewInfrastructure optimizationScalability focusSystems design

Languages:English

Tech Stack:PyTorchVertex AISagemakerMachine learningLLM inferenceFunction callingMultimodal models

Company Brief

Fireworks AI

Industry: SaaS

Website