Senior Site Reliability Engineer - Storage 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 Computing, VisualizationIndustries

Requirements

BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience
Deep experience with storage protocols such as NFS, NVMe/TCP, S3 and Lustre (LNet)
Experience with containerization technologies like Kubernetes and their integration with storage solutions
Proficiency in one or more programming languages (Python, GO)
Experience working with monitoring and configuration management tools such as Chef, Ansible, Puppet, Saltstack, etc
Background with cloud infrastructure - AWS, Azure or Google Cloud
Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana
Excellent communication and collaboration skills
Ways To Stand Out
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with RDMA (InfiniBand or RoCE) fabrics
Background with HPC cluster management tools such as Slurm, PBS, LSF, etc
Passionate and experienced in AI methodologies

Responsibilities

Design, implement on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA
Design and implement advanced storage solutions, such as high-performance NFS, S3-compatible object storage, and distributed storage systems
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
Document the general procedures and practices, perform technology evaluations, related to distributed file systems
Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements
Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization

Skills

HPC

Storage Solutions

NFS

Distributed Storage

Automation Tooling

Monitoring

Alerting

Cloud Computing

On-prem Infrastructure

Distributed File Systems

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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