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# Software Engineer

- **Company:** Nvidia International, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $224,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, AutoCAD, Artificial Intelligence, Data Analysis, Computer Vision, Big Data, Cloud Computing, Cyber Security, Computer Engineering, Computer Graphics, Software Debugging, Linux, Memory Management, Firmware, General-Purpose Computing on Graphics Processing Units, Interoperability, Kernel-Based Virtual Machine, Linux Kernel, Open Source Technology, PCI Express, Proprietary Software, Quick EMUlator (QEMU), Product Software Implementation Methods, Systems Integration, Virtualization Technology, Graphics Processing Unit (GPU), Model Validation, Falcon Platform, Perf (Linux), Information Technology, Cybercrime, Data Management, Cyber Warfare
- **Published:** October 22, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-software-engineer-virtualization-and-linux-kernel/11826231?handler=ApplyRedirect

## About the Role

* BS degree or higher in computer science, computer engineering or a related field, or equivalent experience.
 * 12+ years of experience in Linux kernel development or virtualization.
 * Record of relevant contributions accepted into the upstream Linux kernel, including experience preparing patch series, addressing review feedback and working with subsystem maintainers.
 * Proficiency in Rust and C, with a strong understanding of Rust ownership, lifetimes, memory safety and interoperability with C.
 * In-depth knowledge of Linux kernel internals, including the device-driver model, memory management, synchronization and concurrency.
 * Strong understanding of virtualization, including host and guest interactions, memory translation, device assignment, interrupts and resource isolation.
 * Strong debugging and analytical skills, with experience using tools such as GDB, KGDB, ftrace or perf to investigate complex kernel and system issues.
 * Clear technical writing and communication skills, with the ability to explain design tradeoffs and work effectively with globally distributed engineering teams and open-source communities.

Ways to stand out from the crowd:

 * Knowledge of GPU architecture, GPU drivers or GPU virtualization. Experience with DRM, Nouveau, Nova or similar graphics and compute driver stacks is a plus.
 * Contributions to Rust-for-Linux, or experience developing in Rust for kernel subsystems.
 * Hands-on development experience with KVM, QEMU, VFIO, IOMMU or PCIe SR-IOV.
 * Experience as an open-source maintainer or reviewer, or leading patch series that span multiple kernel subsystems.
 * Familiarity with device emulation, low-level firmware interfaces or virtual-device migration.

## Description

We are looking for a Senior System Software Engineer to join the GPU Virtualization team and advance open-source Linux kernel support for NVIDIA GPUs. In this role, you will develop virtualization features in Rust and C, contribute to the upstream Linux kernel, and work directly with open-source maintainers and partners. You will help shape vGPU support in Nova, the upstream Rust driver for NVIDIA GPUs and the surrounding Linux virtualization stack. We are looking for someone who takes ownership of technical problems, communicates clearly, and works independently across globally distributed teams.
What you'll be doing:

 * Design, develop, test, document and maintain upstream Linux kernel support for NVIDIA GPU virtualization, including vGPU enablement in Nova.
 * Work across the Linux virtualization stack, including KVM, QEMU and VFIO, on device assignment, PCIe SR-IOV, memory management and virtual-device lifecycle.
 * Drive technical proposals and patch series through upstream design discussions, review and acceptance. Work with subsystem maintainers, address feedback and review contributions from others.
 * Debug and resolve functional, performance and reliability issues across host drivers, hypervisors and GPU firmware interfaces.
 * Collaborate with internal software, hardware, architecture and the open-source community to define features, validate integration and maintain support as the kernel evolves., Join NVIDIA to develop Linux kernel and virtualization technologies that bring GPU computing to cloud and enterprise environments. You will work with experienced engineers and open-source communities, with opportunities to shape technical direction and grow your expertise., Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform, CrowdStrike, Architect and build production AI security systems spanning endpoint sensors and cloud-scale infrastructure. Lead autonomous cyber defense capabilities, including detection, threat hunting, response, adversary simulation, secure agent execution, and model evaluation. Establish technical direction, benchmarks, and safety practices while mentoring senior engineers and researchers. Carry frontier AI research into the Falcon platform and represent the company through publications, open source, standards, and industry collaboration.
Top Skills: Adversarial Machine LearningAgentic ArchitecturesCC++Cloud SecurityCyber RangesDistributed SystemsEndpoint SecurityGoGpu InferenceKernel-Mode TelemetryLarge Language Models (Llms)PythonReinforcement LearningReward ModelingRustSandboxed ExecutionSglangSIEMStreaming Data InfrastructureSynthetic DataTensorrt-LlmTritonUser-Mode TelemetryVllm
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