Sr. Specialist Solutions Architect (High Performance Computing and Machine Learning)

TL;DR

Sr. Specialist Solutions Architect (High Performance Computing and Machine Learning): Crafting scalable, flexible HPC architectures on AWS for complex customer challenges in physics-informed ML, CAE, weather simulation, and GPU-accelerated computing with an accent on best practices, workload migration, and strategy execution. Focus on designing high-scale systems, providing thought leadership via blogs and whitepapers, and collaborating across teams for enterprise adoption.

Location: SGP, Singapore

Company

Worldwide leader in cloud computing, powering businesses from startups to Global 500 with innovative services.

What you will do

• Collaborate with AWS teams to architect HPC solutions leveraging AWS services for customers and partners.
• Define HPC engagement strategies for key accounts, emphasizing public sector supercomputing centers, government agencies, AI/ML, CAE, weather, and GPU computing.
• Provide thought leadership through AWS blogs, whitepapers, reference architectures, and internal training.
• Support business development by ensuring customer success in building and migrating applications to AWS.
• Assist solution providers with technical and business strategies, capture best practices, and understand market segments.

Requirements

• 8+ years in technology domains like software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
• 3+ years designing, implementing, or consulting on applications and infrastructures.
• 10+ years IT development or implementation/consulting in software or Internet industries.

Nice to have

• Deep HPC experience in CAE, weather simulation, oil & gas, automotive/aerospace, financial services, or pharmaceuticals.
• Experience architecting HPC systems with schedulers (Slurm, Torque, Symphony, GridServer) and parallel file systems (Lustre, IBM Spectrum Scale).
• Deployment, tuning, benchmarking, and management of HPC technologies in multi-user environments.
• Deep GPU knowledge in HPC and/or AI/ML frameworks.

Culture & Benefits

• Work-life harmony with flexibility and support for personal sacrifices.
• Endless knowledge-sharing, mentorship, and career-advancing resources.
• Inclusive culture with employee-led affinity groups and events like Conversations on Race and Ethnicity (CORE).
• Focus on curiosity, innovation, and diverse experiences.