Solutions Architect (GPU/HPC/AI/ML)

Location: Remote in Singapore with occasional client visits

Compensation: Up to 270K SGD OTE, with an exception for principals; includes base salary, bonus, and RSUs.

Company

Cloud technology company building GPU cloud infrastructure for scalable AI/ML solutions and supporting organizations across industries.

What you will do

• Advise customers through workshops, presentations, and training on GPU cloud technologies.
• Translate business requirements into scalable, cloud-native solution architectures.
• Work with clients on HPC topics and optimize ML pipelines for performance, scalability, and cost efficiency.
• Represent customer use cases to product, engineering, and marketing teams.
• Collaborate internally on product and customer success strategies.

Requirements

• 5–10+ years of experience in cloud computing roles such as solutions architecture, systems engineering, or development.
• Strong hands-on experience with infrastructure as code, including Terraform and Ansible, and Kubernetes.
• Solid understanding of GPU computing for ML training and inference and GPU software stacks such as CUDA and OpenCL; no hard requirement is specified.
• Excellent communication and presentation skills.
• Strong customer-facing and problem-solving mindset.

Nice to have

• Python experience.
• Experience with HPC/ML orchestration frameworks such as Slurm and Kubeflow.
• Hands-on experience with TensorFlow or PyTorch.
• Familiarity with AWS, Azure, Google, or NVIDIA cloud ML ecosystems.

Culture & Benefits

• Remote work from Singapore with occasional client visits.
• Flat structure, minimal bureaucracy, speed, ownership, and technical excellence.
• Direct customer collaboration and influence on product direction.
• Compensation includes base salary, bonus, and RSUs, with a principal-level exception to the stated OTE.