Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS at NVIDIA

Dubai, Dubai, United Arab Emirates

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, TechnologyIndustries

Requirements

BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture
Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software
Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments
Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting
Excellent knowledge of Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc
Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus
Proficiency in Python programming and bash scripting
Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc
Ways to stand out
Knowledge of CI/CD pipelines for software deployment and automation
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, CUDA)
Background with RDMA (InfiniBand or RoCE) fabrics

Responsibilities

Maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedulers and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements

Skills

Linux

HPC

DevOps

CI/CD

Networking

TCP/IP

data center architecture

GPUs

high-speed interconnects

monitoring

logging

alerting

automation

orchestration

schedulers

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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