NVIDIA Corporation

Senior Site Reliability Engineer, DGX Cloud

NVIDIA Corporation$168K — $333K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS in Computer Science or related field, or equivalent experience.
  • 8+ years operating production services.
  • Expert-level in Kubernetes administration and microservices architecture.
  • Familiar with infrastructure automation tools like Terraform and Ansible.
  • Proficient in at least one high-level programming language (Python, Go).
  • In-depth knowledge of Linux, networking fundamentals, and cloud security standards.
  • Solid understanding of SRE principles and comprehensive observability stacks.

Responsibilities

  • Build and support reliability aspects of large-scale Kubernetes clusters.
  • Define SLOs/SLIs and monitor error allowances.
  • Support services with system creation consulting and software tool development.
  • Maintain services by measuring availability and system health.
  • Optimize GPU workloads across various cloud platforms.
  • Scale systems through automation and improve reliability.
  • Lead triage and root-cause analysis of incidents.

Benefits

  • Eligibility for equity.
  • Comprehensive health benefits.
  • Flexible work arrangements.
  • Opportunities for professional development and training.
  • Supportive work environment fostering innovation.
Full Job Description
Work with NVIDIA's DGX Cloud team as a Senior Site Reliability Engineer to maintain high-performance DGX Cloud clusters for AI researchers and enterprise clients worldwide.

What you'll be doing:
  • Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters with focus on performance at scale, real-time monitoring, logging, and alerting.
  • Define SLOs/SLIs, monitor error allowances, and streamline reporting.
  • Support services before they launch through system creation consulting, developing software tools, platforms and frameworks, capacity management, and launch reviews.
  • Maintain services once they are live by measuring and supervising availability, latency, and overall system health.
  • Operate and optimize GPU workloads across AWS, GCP, Azure, OCI, and private clouds.
  • Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.
  • Lead triage and root-cause analysis of high-severity incidents.
  • Practice balanced incident response and blameless postmortems.
  • Participate in on-call rotation to support production services.


What we need to see:
  • BS in Computer Science or related technical field, or equivalent experience.
  • 8+ years of experience operating production services.
  • Expert-level knowledge of Kubernetes administration, containerization, and microservices architecture.
  • Experience with infrastructure automation tools (e.g., Terraform, Ansible, Chef, Puppet).
  • Proficiency in at least one high-level programming language (e.g., Python, Go).
  • In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards.
  • Solid grasp of SRE principles, such as SLOs, SLIs, error budgets, and incident management.
  • Experience building and operating comprehensive observability stacks (monitoring, logging, tracing) using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.


Ways to stand out from the crowd:
  • Operating GPU-accelerated clusters with KubeVirt in production.
  • Applying generative-AI techniques to reduce operational toil.
  • Experience with workflow orchestration platforms such as Temporal, Cadence, Airflow, Argo Workflows, or Step Functions.
  • Experience operating and resolving problems in production AI inference workloads across the model-to-GPU stack, including vLLM, SGLang, PyTorch, TensorRT-LLM, NVIDIA Dynamo, CUDA, NCCL, and GPU performance analysis.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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