Shiva Merla
Senior System Software Engineer at NVIDIA
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShiva Merla is a Senior System Software Engineer at NVIDIA in San Jose with 7 years of experience focused on simplifying GPU management and scaling AI infrastructure for enterprises. He’s an active contributor to high-profile open-source projects like NVIDIA/dcgm-exporter and NVIDIA/gpu-operator, adding DCP metric collection, NODE_NAME support, automated GPU node labeling, and OLM/CSV improvements to streamline Kubernetes deployments. Prior roles at HPE, Nimble, NetApp and Dell EMC gave him deep expertise in Linux SCSI, storage drivers, iSCSI/FC multipath and CSI/volume plugins, coupling kernel-level storage knowledge with cloud-native patterns. Proficient in Golang, Python and DevOps practices, he bridges low-level systems engineering and operator-based delivery—optimizing daemonsets, driver containers and containerized configuration to make GPU infrastructure reliably production-ready.
8 years of coding experience
10 years of employment as a software developer
BE Computer Science, BE Computer Science at Sri Jaya Chamarajendra College Of Engineering. Mysore
English, Hindi, Telugu, Kannada
Github Skills (20)
kubernetes10
dockerce10
docker10
containerization10
dockers10
system-monitoring10
go10
devops10
kubernetes-pod10
openshift49
helm9
ci-cd9
openshift9
prometheus9
crt8
Programming languages (10)
Github contributions (5)
NVIDIA/gpu-operator
Sep 2020 - Jan 2023
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:14 releases, 34 reviews, 627 commits in 2 years 4 months
Contributions summary:Shiva's contributions focused on the NVIDIA GPU Operator, primarily related to enhancing its capabilities and streamlining deployments within Kubernetes environments. The user implemented features for automated GPU node labeling and improved driver container management, addressing specific issues with the Node Feature Discovery (NFD) labels. The user also updated the operator to deploy GFD, added configurations to customize components of the driver, enabled the creation of operator components, and streamlined the Operator by optimizing the daemonset code. The user was responsible for adding and updating the OLM bundle, CRD, and CSV updates for OLM support
cudanvidia-dockernvidiagpuoperator
NVIDIA/dcgm-exporter
Oct 2020 - Jan 2023
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:11 commits, 1 PR, 1 comment in 2 years 3 months
Contributions summary:Shiva's contributions primarily focused on enhancing the functionality and configuration of the dcgm-exporter. They implemented features to check for and collect DCP metrics, modifying several Go files to enable this capability. Furthermore, they integrated the use of the `NODE_NAME` environment variable for metrics, demonstrating a DevOps approach to containerized application configuration. Additionally, they addressed whitespace issues and added a VGPU license status to the default watch list, improving code quality and functionality.
exporternvidialeveraginggpumetrics-exporter
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