88 applicants

Company

Original Job Post

NVIDIA · 2 days ago

Senior Software Engineer, DevOps and Infrastructure Automation

Santa Clara, CA

Full-time

Onsite

Senior Level

$140K/yr - $259K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

H1B Sponsorship

Growth Opportunities

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Responsibilities

Build, deploy, and maintain GPU-based Servers for use in Metropolis platforms and machine learning applications in test, development, and production environments.

Lead design and be responsible for infrastructure components on Network topologies, Streaming Servers, and Security.

Collaborate with different software, IT, Security, and hardware teams across geographies for solving critical problems and performance issues.

Establish configuration environment for servers by creating processes and tools for software development, debugging, testing, benchmarking, and documentation.

Automate provisioning and management of bare-metals, internal cloud, Microsoft Azure, Amazon AWS.

Automate performance measurement of GPU-based AI applications.

Implement automated monitoring and operating procedures for a range of domains across on-premise/cloud environments.

Build and maintain infrastructures related to the delivery of software artifacts produced by Metropolis application development teams.

Build detailed documentation for customers, partners, and system integrators to replicate the deployment architecture prototyped.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Configuration ManagementServer AdministrationLinuxPythonShell ScriptingAnsibleTerraformHelm TemplateApplication Performance AnalysisElasticsearchLogstashKibanaKafkaJenkinsPipeline ScriptingDockerfileArtifactory IntegrationContainer RegistryHelm Package RepositoriesKubernetesCloud Infrastructure ProvisioningAWSGCPAzureOCICloud FormationMonitoring ToolsAutomation ToolsEdge Servers ManagementInterpersonal Skills

Required

BS or MS in Computer Science, Computer Engineering or Electrical Engineering or related field (or equivalent experience)

5+ years of proven track record in Configuration Management, Server administration (Linux) in an Engineering Hardware Lab environment

Excellent programming skills in Python, Shell Scripting, ansible, terraform, Helm Template

Application Performance analysis measurement and reporting

Solid understanding of configuring and handling Elasticsearch, Logstash, Kibana, Kafka ecosystem

Software build, package and delivery skills with Jenkins, Pipeline Scripting, Dockerfile, Artifactory integration, Container Registry, Helm Package repositories

Good understanding of Kubernetes ecosystem and helm based application deployment patterns

Cloud Infrastructure provisioning automation with AWS, GCP, Azure, OCI using Terraform, Cloud Formation etc.

Preferred

Building configuration management, monitoring and automation tools

Familiarity in management of large scale of edge servers deployed in indoor and outdoor environments

Strong interpersonal skills

Benefits

Equity

Benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

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

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)