Senior Systems Software Engineer, Windows and Linux Enablement - DGX Station

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 356,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Nvidia Corporation is seeking a talented systems software engineer for their DGX Station project. This role involves extensive work on Windows and Linux platforms, ensuring a seamless experience for developers and enterprise customers. The successful candidate will drive Windows platform ownership and Linux bring-up, collaborating with cross-functional teams.

Applicants should possess a strong educational background in Computer Science or a related field and 12+ years of industry experience. Exceptional debugging and development skills in C/C++ and Python are required, along with knowledge of NVIDIA's software stacks.

Qualifications

• 12+ years of experience in systems software engineering.
• Deep expertise in Windows platform enablement and driver development.
• Strong hands-on experience with kernel-mode drivers and power management.

Responsibilities

• Own end-to-end Windows enablement for DGX Station.
• Drive Linux bring-up for DGX Station on DGX OS / Ubuntu.
• Validate BIOS/UEFI and system-level firmware for both OS.

Skills

Windows internals

Linux platform enablement

C/C++

Python

Debugging skills

Education

BS or MS in Computer Science or Electrical Engineering

Tools

CUDA

TensorRT

Job description

DGX Station is NVIDIA's next-generation personal AI supercomputer—a deskside workstation built on the NVIDIA Grace Blackwell GB300 Superchip with massive coherent CPU+GPU memory. The platform is designed to bring data‑center‑class AI capabilities directly to the desks of researchers, developers, and AI engineers.

This role is a hands‑on, technically deep position where you will be the go‑to engineer for making DGX Station a first‑class Windows platform while also driving its Linux bring‑up and validation. You will work across NVIDIA's GPU driver, CUDA, firmware, BMC, and AI software teams, collaborate closely with Microsoft and OEM partners, and ensure that developers and enterprise customers have a polished, production‑ready experience on DGX Station across both operating systems.

What you'll be doing

• Windows Platform Ownership (primary): Own end‑to‑end Windows enablement for DGX Station driving the platform from initial bring‑up on Windows through WHQL certification to customer‑ready shipping quality.
• Linux Bring‑up & Enablement: Drive Linux bring‑up and continuous enablement for DGX Station on DGX OS / Ubuntu, including kernel module integration, device tree and ACPI configuration, systemd services, initramfs, and dkms packaging.
• Firmware & Driver Enablement: Enable and validate BIOS/UEFI, BMC, and system‑level firmware for Windows and Linux on the Grace (Arm) + Blackwell GB300 architecture.
• GPU Driver Integration: Coordinate GPU driver, display driver, and compute driver bring‑up and validation on Windows and Linux.
• CUDA & AI Stack Readiness: Ensure the CUDA toolkit, cuDNN, TensorRT, NCCL, and NVIDIA's AI SDK stack are fully functional on DGX Station on both Windows and Linux.
• Application Validation: Validate that NVIDIA AI applications—NIM microservices, NemoClaw, AI Workbench, and developer tools—run correctly on DGX Station across Windows and Linux.
• System Validation & Quality: Drive the overall test strategy for DGX Station on Windows and Linux: functional testing, stress testing, power/thermal validation, sleep/resume and S‑state cycles, Windows Update and Linux kernel‑upgrade compatibility, and long‑duration reliability.
• Partner Engagement: Be the primary technical interface with Microsoft and OEM partners shipping DGX Station.
• Performance Optimization: Profile and optimize system performance—boot time, GPU compute throughput, NVLink‑C2C and memory bandwidth utilization, power efficiency, and thermal behavior.
• Documentation & Enablement: Create and maintain platform documentation for DGX Station on Windows and Linux.

What we need to see

• BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience) and 12+ years of confirmed experience in systems software engineering with deep expertise in Windows platform enablement, driver development, or OS integration.
• Strong hands‑on experience with Windows internals: kernel‑mode drivers, ACPI, power management, Secure Boot, UEFI, WDM/WDF driver frameworks, and the WHQL certification process.
• Solid understanding of Linux platform enablement: kernel modules, device tree / ACPI on Arm, systemd, initramfs, dkms, and packaging for Ubuntu / DGX OS.
• Experience with GPU driver stack, display drivers, or compute drivers on Windows and/or Linux.
• Experience enabling hardware platforms—bring‑up, driver integration, validation, and certification for shipping products on Windows and Linux.
• Strong debugging and root‑cause analysis skills across firmware, driver, and OS boundaries.
• Ability to work across organizational boundaries—including coordination with GPU driver, CUDA, firmware, BMC, and AI software teams, as well as external partners (Microsoft, OEMs).
• Proficiency in C/C++ and Python. Experience with Arm architecture is a plus.

Ways to stand out from the crowd

• Experience with Windows on Arm platforms—driver enablement, performance optimization, or application compatibility on Arm‑based Windows devices.
• Hands‑on experience with CUDA, TensorRT, or AI/ML frameworks on Windows and Linux—especially on Arm + NVIDIA GPU systems.
• Prior experience working with OEM/ODM partners or silicon vendors on Windows and Linux platform certification for workstation‑ or server‑class hardware.
• Track record shipping workstation or server hardware—from bring‑up through general availability—with both Windows and Linux support.
• Experience with BMC, Redfish, out‑of‑band management, or platform manageability software on high‑end workstations or servers.
• Experience with GPU‑accelerated applications: AI training and inference, content creation tools, or scientific computing on Windows and Linux.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate 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.