Senior Solution Architect, HPC and AI - NVIS
Canada, Remote
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.
NVIDIA is looking for Senior HPC/AI Solutions Architect to join its NVIDIA Infrastructure Specialists Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!
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.
Worldwide 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 with 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.)
Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture.
You are excited to work with multiple levels and teams across organisations (Engineering, Product, Sales and Marketing team) Capable of working in a constantly evolving environment without losing focus. Ability …
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Benefits Eligible for Equity Equity Equity and benefits
Tasks- Training
Accelerated Computing AI AI software AI solutions Analytical Analytics Ansible Artificial Intelligence Automation AWS Azure C C++ Communication Computer graphics Data & Analytics Data center Data centers Data Science Debugging Deep Learning DeepSpeed Deployment Docker Engineering GCP HPC Infiniband Interpersonal Kubernetes Leadership LLM LLMOps Machine Learning Marketing Microservices MLOps Monitoring MPI Networking NLP NVIDIA NVIDIA products Presentation Problem-solving Python Sales SLURM Software Development Storage System design Team building Technical Leadership Technical Presentation Terraform Time Management Training
Experience8 years
EducationB.S. Computer Engineering Computer Science Data Science Deep Learning Electrical Engineering Engineering Equivalent Equivalent experience Machine Learning Marketing Mathematics MS Ph.D. Physics
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