Senior Site Reliability Engineer, DGX Cloud

India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates should possess a BS in Computer Science or a related technical field, or equivalent experience, with over 10 years of experience operating production services. Expertise in Kubernetes administration, containerization, and microservices architecture is required, along with experience in infrastructure automation tools like Terraform, Ansible, Chef, or Puppet. Proficiency in a high-level programming language such as Python or Go, in-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards are essential. Proficient knowledge of SRE principles, including SLOs, SLIs, error budgets, and incident handling, as well as experience building and operating observability stacks using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, or Splunk, are also necessary.

Responsibilities

The Senior Site Reliability Engineer will build, implement, and support operational and reliability aspects of large-scale Kubernetes clusters, focusing on performance, monitoring, logging, and alerting. Responsibilities include defining SLOs/SLIs, monitoring error budgets, streamlining reporting, and supporting services before launch through system creation consulting, software tool development, capacity management, and launch reviews. The role involves maintaining live services by measuring availability, latency, and system health, operating and optimizing GPU workloads across various cloud providers, and scaling systems sustainably through automation. Additionally, the engineer will lead incident triage and root-cause analysis, practice balanced incident response and blameless postmortems, and participate in the on-call rotation.

Skills

Site Reliability Engineering

Kubernetes

Performance Optimization

Monitoring

Logging

Alerting

SLOs

SLIs

Error Budgets

Automation

Incident Response

Root Cause Analysis

GPU Workloads

AWS

GCP

Azure

OCI

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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