Senior Platform and EngOps Engineer - Cluster Operations at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure
Automation expert with hands-on skills in Ansible, Python, and Shell Scripting
Deep understanding of operating systems, computer networks, and high-performance applications
Proven ability to work effectively with developers and test engineers across different teams and time zones
Proficient with Linux fundamentals

Responsibilities

Develop automated tools to efficiently deploy, provision, and maintain extensive GPU clusters interconnected via NVLink and InfiniBand
Implement modern DevOps tools to automate software updates, perform maintenance tasks, and monitor cluster availability, ensuring seamless operations
Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance
Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions
Collaborate effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements

Skills

Key technologies and capabilities for this role

AnsibleNVLinkInfiniBandGPU ClustersDevOpsAutomationCluster DeploymentMonitoringTroubleshootingFirmware Updates

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 144,000 USD - 230,000 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What skills are required for this Senior Platform and EngOps Engineer role?

Required skills include 5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure; automation expertise in Ansible, Python, and Shell Scripting; deep understanding of operating systems, computer networks, and high-performance applications; proficiency with Linux fundamentals; and BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.

What is the team environment like at NVIDIA for this role?

The role involves collaborating effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements.

What makes a candidate stand out for this position?

Candidates stand out with familiarity with resource scheduling managers like Slurm, direct experience with alerting tools and emergency response, hands-on experience with GPU-focused hardware like DGX systems, proficiency in metrics collection and alerting infrastructure, and designing large-scale networking technologies.

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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