Senior Site Reliability Engineer, DGX Cloud

California, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, High-Performance ComputingIndustries

Requirements

Candidates must have a BS in Computer Science or equivalent experience, with at least 12 years of experience operating production services at scale. Expert-level knowledge of Kubernetes administration, containerization, microservices architecture, Kubernetes operators, and distributed systems is required. Experience with infrastructure automation tools like Terraform, Ansible, Chef, or Puppet, proficiency in Python or Go, and in-depth knowledge of Linux, TCP/IP networking, and cloud security standards are essential. Demonstrated ability to troubleshoot complex DNS, network, Kubernetes, and systems issues in production, proficient knowledge of SRE principles (SLOs, SLIs, error budgets, incident handling), and experience building observability stacks with tools like Prometheus, Grafana, or Datadog are also necessary.

Responsibilities

The Senior Site Reliability Engineer will support large-scale Kubernetes services before launch by consulting on system creation, developing software tools, platforms, and frameworks, managing capacity, and conducting launch reviews. They will build, implement, and support operational and reliability aspects of large-scale Kubernetes clusters, focusing on performance, monitoring, logging, and alerting. Key duties include defining SLOs/SLIs, monitoring error budgets, streamlining reporting, maintaining live services by measuring availability and latency, and scaling systems sustainably through automation. The role involves evolving systems to improve reliability and velocity, leading incident triage and root-cause analysis, practicing balanced incident response and blameless postmortems, and participating in on-call rotations.

Skills

Site Reliability Engineering

Kubernetes

Cloud Computing

AWS

GCP

Azure

OCI

Performance Monitoring

Logging

Alerting

SLO/SLI Definition

Incident Response

Automation

GPU Workloads

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.

Land your dream remote job 3x faster with AI

Try Jobo Free