Nvidia Solutions Architect Cloud Services 

Singapore, Singapore 

84769403

What you'll be doing:

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

• 8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

• Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

• 3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• Substantial experience in an IT role or alike for HPC or large scale AI systems

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

• Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Strong analytical and problem-solving skills

• Good verbal communication and presentation skills in English

Ways to stand out from the crowd:

• Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Experience with AI frameworks and tools on GPUs

• Ability and wiliness to travel to end customers