Senior Linux Kernel Systems Software Engineer – CSP Engagements

NVIDIA; Austin (TX); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity options

Benefits package

Job summary

NVIDIA is seeking a Senior Software Engineer for their CSP Engagements team in Austin, Texas. This role focuses on system software for data center products and requires expertise in Linux kernel development, hardware-software co-design, and customer interaction. Candidates must possess a strong background in data center technologies, programming skills in C/C++, and over 10 years of experience in system software development. A competitive salary with equity options is offered for this pivotal role.

Qualifications

• 10+ years of system software development experience.
• Ability to debug kernel crash dumps and lock-up issues.
• Deep understanding of NUMA architectures.

Responsibilities

• Design and develop software solutions for data center servers.
• Lead hardware bring-up activities and BSP development.
• Collaborate with cross-functional teams on end-to-end solutions.

Skills

Expert knowledge of Linux kernel internals

Strong programming skills in C/C++

Experience with cloud-native architectures

Deep expertise in data center server architectures

Hands-on experience with GDB

Strong understanding of PCIe virtualization

Education

BS or MS in Computer Engineering, Computer Science, or related field

Tools

Kubernetes

CUDA

Job description

NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer‑facing responsibilities to enable cloud service providers with next‑generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment.

What You’ll Be Doing

• Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next‑gen platforms.
• Lead hardware bring‑up activities, BSP development, and hardware‑software co‑design for Cloud Service Provider deployments.
• Partner directly with CSPs to deliver technical solutions, co‑develop & co‑debug features and optimizations, and provide support during new product introductions.
• Collaborate with cross‑functional teams in designing end‑to‑end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads.
• Perform advanced system debugging, root cause analysis, and performance optimization for large‑scale data center environments.
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.

What We Need To See

• Deep expertise in data center server architectures, HPC systems, and hardware‑software co‑design.
• Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet).
• Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.
• Ability to debug kernel crash dumps and all types of lock‑up issues. Hands‑on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly.
• Strong understanding of PCIe virtualization and IOMMU.
• Deep understanding of NUMA architectures including memory topology, processor‑memory locality, and performance optimization for multi‑CPU systems in data center environments.
• Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud‑native architectures.
• Skilled in complex system‑level debugging, performance analysis, and test design.
• BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience.

Ways To Stand Out From The Crowd

• Experience with GPU computing (CUDA), deep learning workloads.
• Expertise in Out of Band and In‑band management architectures.
• Knowledge of Memory fabric and CXL architectures.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 7, 2026.

This posting is for an existing vacancy.

NVIDIA is committed to fostering a diverse work environment and is 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.