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# Site Reliability Engineer (Only W2)

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Windows, Apache HTTP Server, Apache Tomcat, Configuration Management, Nvidia CUDA, Software Debugging, Linux, DevOps, Device Drivers, Monitoring of Systems, Hypertext Transfer Protocols (HTTP), Python (Programming Language), Kernel-Based Virtual Machine, Unix Shell, MySQL, Nginx, Open Source Technology, Perforce, Performance Tuning, Regression Testing, Reliability Engineering, Ansible, Software Engineering, Tcl (Programming Language), Virtualization Technology, Zabbix, Scripting, Grafana, Git, Infrastructure Automation Frameworks, Information Technology, Bare Metal, TensorRT, Terraform, Software Version Control, Docker, Server Operating Systems & Platforms, Vmware
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/9ed6d141-b7e8-45b8-b1e5-9922cae59507

## About the Role

* Bachelor's or master's degree in computer science or software engineering, or equivalent demonstrable experience.
 * 4+ years of proven experience working in a DevOps/SRE environment.
 * Ability to analyze and debug source code to triage, root cause and resolve issues in the infrastructure. Collaborate with the development teams in improving the build and test infrastructure.
 * Familiar with maintenance and setup of Linux, Windows hosts and popular open-source applications such as Nginx, Apache HTTP, Apache Tomcat and MySQL server.
 * Hands-on scripting experience with any including but not limited to Python (preferred), TCL, JAVA etc. Unix shell proficiency is expected.
 * Experience in MySQL should be able to write queries.
 * Experience with version control systems like Perforce, GIT is expected.
 * Experience with VMs and container virtualization technologies like VMware, KVM, Docker and Kubernetes.
 * Background with automating bare metal and VM provisioning.
 * Experience with debugging GPU performance issues, embedded device software development and automation, software driver development and CUDA/TensorRT applications.

## Description

* This position requires strong experience in semiconductor/SOC integration Framework in native server environments in Nvidia.
 * Develop framework and scripts to automate workflows and deployments in the Nvidia private cloud environment.
 * Deploy and maintain a large farm of machines using world-class Configuration Management
& Infrastructure Automation (IaaC) tools like Chef, Ansible, Terraform

 * Develop extensive monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Grafana)
 * Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of the infrastructure.
 * Work closely with multi-functional teams across the globe to ensure service uptime and SLAs are maintained.
 * Solve complex problems involving multi-site infrastructure scaling, leading GPU product bring-up in infrastructure, integrating GPU test suites to infrastructure harness etc.
 * Automation and performance tuning of regression test frameworks, creation of selfhealing/automated recovery solutions for multi-geo regression farms.
 * Assist in roll-out and deployment of new development features aimed at supporting the latest Nvidia hardware and technologies.