NVIDIA · 19 hours ago
Senior Solution Architect, HPC and AI - NVIS
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Responsibilities
Primary responsibilities will include building and enabling robust AI/HPC infrastructure for 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 services from inception and design through deployment, operation, and optimization
Co-design telemetry of AI workloads to help engineering build solutions for more robust workloads at scale
Communicate across internal teams to support the continuous improvement of NVIDIA's offerings and software designs
Qualification
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Required
Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
8+ years of experience and knowledge of neural networks including good understanding of transformer architectures.
Experience designing large scale AI workloads with SLURM and/or Kubernetes.
Proficiency with Python / C++ / Rust or other popular software languages.
Excellent verbal, written communication, and technical presentation skills in English.
You are motivated to work with multiple levels and teams across organizations.
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 curious self-starter with a desire for continuous learning and sharing knowledge across the team.
Preferred
Experience orchestrating distributed Deep Learning training with SLURM.
Proficiency in DevOps, including hands-on experience with Ansible, Terraform or similar tools. Equivalent experience will be accepted as well.
8+ years designing solutions with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software.
Technical leadership with a strong understanding of NVIDIA technologies, and success in working with customers.
Expertise with parallel file systems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, and Gig-E).
Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture.
Benefits
Equity and benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· undefined
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