Nvidia Senior Solution Architect HPC AI - NVIS 

China, Beijing, Beijing 

171273587

What You’ll Be Doing:

• Primary responsibilities will include building robust AI/HPC infrastructure for new and existing customers.

• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.

• Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.

• Your primary focus would be on understanding the AI workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.

• Help maintain services once they are live by measuring and monitoring progress of AI jobs and helping engineering design solutions for more robust training at scale.

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

• Regional travel is required for on-site visits with customers.

What We Need to See:

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

• At least 8 years work or research experience with Python/ C++ / other software development.

• Track record of medium to large scale AI training and understanding of key libraries used for NLP/LLM/VLA training (NeMo Framework, DeepSpeed etc.)

• You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team) Capable of working in a constantly evolving environment without losing focus. Ability to multitask in a fast-paced environment.

• Driven with strong analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.

• You are a self-starter with demeanor for growth, passion for continuous learning and sharing findings across the team.

• Excellent verbal, written communication, and technical presentation skills in English.

• Hands-on, adaptable problem-solver with a collaborative approach and strong ability to thrive in fast-paced, dynamic environments, working effectively with cross-functional teams to deliver innovative solutions

Ways to Stand Out from The Crowd:

• Experience working with large transformer-based architectures for NLP, CV, ASR or other. Experience running large scale distributed DL training.

• Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

• Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software.

• Technical leadership and strong understanding of NVIDIA technologies, and success in working with customers.

• Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, and Gig-E).

• Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Docker/Kubernetes, Kubernetes, Singularity, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.

• Proficient in deploying GPU applications in Slurm and Kubernetes. Experience with high performance or large scale computing environments.

• Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.

• Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture.