About Singtel Digital InfraCo RE:AI
Singtel Digital InfraCos RE:AI division is building Asias 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 Singtels 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 Singtels GPU-as-a-Service (GPUaaS).
- Design and implement architecture Singtels 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 Singtels 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 aceleration 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!
Required Experience:
Staff IC
About Singtel Digital InfraCo RE:AISingtel Digital InfraCos RE:AI division is building Asias 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 comp...
About Singtel Digital InfraCo RE:AI
Singtel Digital InfraCos RE:AI division is building Asias 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 Singtels 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 Singtels GPU-as-a-Service (GPUaaS).
- Design and implement architecture Singtels 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 Singtels 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 aceleration 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!
Required Experience:
Staff IC
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