Infrastructure Solutions Architect, GPUaaS

Singtel; Singapore; Hybrid; SGD 100,000 - 130,000; Full time

Job summary

A leading telecommunications provider in Singapore is looking for an Infrastructure Solutions Architect to design and implement scalable solutions in GPU-as-a-Service (GPUaaS). The ideal candidate will have strong experience in cloud architectures, excellent communication skills, and the ability to collaborate with cross-functional teams. This role will involve optimizing architecture for performance in GPU cloud environments and ensuring compliance with security and regulatory standards. Flexible working arrangements and comprehensive health benefits are offered.

Benefits

Flexible work arrangements

Full suite of health and wellness benefits

Ongoing training and development programs

Internal mobility opportunities

Qualifications

• 8-10 years of experience in a related field.
• Strong hands-on experience in Linux and cloud architectures.
• Excellent verbal and written communication skills in English.

Responsibilities

• Analyze and translate business requirements into technical solutions.
• Design and implement GPUaaS architecture based on best practices.
• Collaborate with stakeholders to align solution priorities.

Skills

Linux

Hypervisor

Infrastructure as Code

AI Solutions

Stakeholder Management

Education

Bachelor's degree in Computer Science

Tools

NVIDIA GPUs

Kubernetes

SLURM

Job description

Infrastructure Solutions Architect, GPUaaS

Date: 22 Dec 2025

Location: Singapore, Singapore

Company: Singtel Group

About Singtel Digital InfraCo – RE:AI

Singtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions.

Be a Part of Something BIG!

We are seeking a Singtel’s GPU-as-a-Service (GPUaaS) Solutions Architect to assist in designing and implementing scalable and secure solutions that align with business objectives and technology standards. The incumbent will develop expertise in designing scalable and secure solutions that meet business requirements and technology standards in the team.

Make an Impact by

• Analyze and translate business requirements into comprehensive technical solutions that align with Singtel’s GPU-as-a-Service (GPUaaS).
• Design and implement architecture Singtel’s GPU-as-a-Service (GPUaaS) based on business needs and industry best practices.
• Lead technical workshops and discussions to align architecture vision with business goals
  Co-design and develop applications/workload architecture with customers and partners and facilitate customer POC, trial and production requirement.
• Collaborate with business stakeholders, product managers, and technical teams to align on solution objectives and priorities.
• Manage relationships and expectations with key stakeholders and clients in the AI domain.
• Ensure architecture solutions are optimized for performance and scalability in GPU cloud environments and guide best practice architecture for Singtel’s GPU-as-a-Service (GPUaaS).
  Ensure compliance with security, performance, and regulatory standards throughout the solution lifecycle.
• Lead on the planning and execution of the customer workload and data migration on our GPU platform.
• This role may require availability outside standard work hours, including nights, weekends and public holidays.

Skills for Success

• Degree in Computer Science, Information Systems, Engineering, or a related field with 8-10 years experiences.
• Strong hand‑on experience in Linux, hypervisor, storage (NFS, Object), and infrastructure as a code.
  Understanding of cloud architectures (IaaS, PaaS), GPU system architecture and NVIDIA GPUs.
• A background in systems level thinking and design. Combined with the ability to translate technical strategy and architectures into concrete, minimal viable products.
• Experience architecting, designing, and developing complex, enterprise grade, configurable, scalable and high-performance architectures across GPU cloud platform for AI solution.
• Strong problem‑solving skills and the ability to handle complex technical challenges.
• Exposure to software development would be an added advantage.
• Deep understanding of the architectural principles for cloud-based platforms that include SaaS, PaaS, multi‑tenancy, infrastructure as code, and continuous availability with hand‑on.
• Excellent verbal, written, and presentation skills in English.
• Experience in stakeholder management and client engagement, ability to collaborate effectively across various cross‑functional teams and groups.

Desirable qualifications

• Understanding how AI and HPC workloads interact with both GPU HW and SW infrastructure.
• Knowledge with orchestration platforms like Kubernetes, SLURM using ML frameworks.
• System-level experience specifically GPU-based systems.
• Understanding of how collective communications (MPI, RDMA, and NCCL) works on GPU cluster, as well as an understanding of GPU specific acceleration works.
• Understanding of AI & HPC networking technologies such as InfiniBand, RoCE, DPUs.

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!