NVIDIA

2 months ago

Senior Solution Architect, Cloud Infrastructure - DevOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead design and implementation of large-scale cloud infrastructure and HPC/AI deployments for NVIDIA's data centers. As a Senior Solutions Architect, you will partner with customers, engineers, and partners to architect, automate, and optimize networking, compute, storage, and orchestration across Linux and Windows environments, leveraging Kubernetes, Slurm, and InfiniBand to enable scalable, high-performance AI workloads.

Location: Mumbai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•Develop, redefine and document standard methodologies to share with internal teams; support R&D activities and engage in POCs/POVs for future improvements.

Key Requirements

•BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related engineering fields with at least 8 years of work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
•5+ years of design, implementation and maintenance of large-scale HPC/AI clusters with monitoring, logging and alerting; experience managing Linux job/workload schedulers and orchestration tools.
•Knowledge of HPC and AI solution technologies from CPUs and GPUs to high-speed interconnects and supporting software.
•Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud).
•Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.

Experience:AIHPCCloudData center

Education:Master's

Skills:PythonBashJenkinsAnsiblePuppetChefKubernetesSlurmSingularityLinuxWindowsNetworkingInfiniBandEthernetIptablesFirewalldWireshark

Languages:English

Tech Stack:PythonBashJenkinsAnsiblePuppetChefKubernetesSlurmSingularityLinuxWindowsInfiniBandEthernetWiresharkFirewallDIptables

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior Solution Architect, Cloud Infrastructure - DevOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Mumbai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•Develop, redefine and document standard methodologies to share with internal teams; support R&D activities and engage in POCs/POVs for future improvements.

Key Requirements

•BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related engineering fields with at least 8 years of work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
•5+ years of design, implementation and maintenance of large-scale HPC/AI clusters with monitoring, logging and alerting; experience managing Linux job/workload schedulers and orchestration tools.
•Knowledge of HPC and AI solution technologies from CPUs and GPUs to high-speed interconnects and supporting software.
•Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud).
•Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.

Experience:AIHPCCloudData center

Education:Master's

Skills:PythonBashJenkinsAnsiblePuppetChefKubernetesSlurmSingularityLinuxWindowsNetworkingInfiniBandEthernetIptablesFirewalldWireshark

Languages:English

Tech Stack:PythonBashJenkinsAnsiblePuppetChefKubernetesSlurmSingularityLinuxWindowsInfiniBandEthernetWiresharkFirewallDIptables

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor