NVIDIA is looking for a Cloud Site Reliability Engineering Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Autonomous Vehicles to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts various machines and devices with operating systems like Windows, Linux, and Android. It supports hardware platforms including NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software development. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
What you'll be doing:
Serve as an SRE Architect part of GPU Private Cloud team used by thousands of NVIDIANs globally for interactive development, centralized CI/CD, and QA testing.
Evaluating, identifying and developing software solutions to optimize critical software development workflows across various organizations within NVIDIA.
Architecting, implementing, and supporting end-to-end CI/CD system using open-source and NVIDIA proprietary software.
Customer (NVIDIA Internal development teams) onboarding to Private cloud infrastructure with a good discovery of the use case and available solutions within the cloud.
Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems.
Leading software development projects and technically direct a team of brilliant engineers and guide them to provide efficient and impactful solutions.
Looking for problems within software systems and resolving the issues
Craft and implement critical metrics using various analytics methods and dashboards.
What we need to see:
BS or MS in Electrical Engineering, Computer Science, or relevant field (or equivalent experience).
15+ years of systems software development including at least 1 year dedicated to developing/exploring AI.
Experience of maintaining cloud infrastructure and highly available production environment.
Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs.
Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch.
Excellent knowledge and working experience with Docker containers and Virtual Machines.
Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka.
Ability to work across organizational boundaries effectively to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Depth in AI, Machine Learning and Deep Learning algorithms and techniques.
Strong collaborative and interpersonal skills, with a consistent record of guiding and influencing others in dynamic environments.
Experience developing large-scale software systems using modular architecture under real-time performance requirements.
Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS or MS in Electrical Engineering, Computer Science, or relevant field (or equivalent experience)
- 15+ years of systems software development including at least 1 year working on AI
- Experience maintaining cloud infrastructure and highly available production environments
- Strong programming and software development skills in Java, Python, and shell scripting
- Good understanding of distributed systems and REST APIs
- Experience with SQL/NoSQL databases such as MySQL, Cassandra, MongoDB, or Elasticsearch
- Excellent knowledge and working experience with Docker containers and virtual machines
- Experience with cloud and infra technologies: OpenStack, Kubernetes, Chef/Puppet, Hadoop, Ceph, SwiftStack, LXC
- Familiarity with developer tooling: Git, Perforce, JFrog, and Kafka
- Ability to work across organizational boundaries in a multinational, multi-time-zone environment
- Depth in AI, machine learning, and deep learning algorithms and techniques
- Experience designing large-scale modular software systems with real-time performance constraints
- Background designing high-performance, scalable systems with focus on hardware cost optimization
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
