Senior Linux Kernel Systems Software Engineer – CSP Engagements

NVIDIA•Redmond, WA

3d•$184,000 - $356,500

About The Position

NVIDIA is seeking a Senior Software Engineer for its CSP Engagements team, focusing on system software for datacenter products such as GB200. The role combines expertise in embedded firmware, Linux kernel development, and middleware with customer-facing work to enable cloud service providers to deploy next-generation computing platforms. The engineer will work across hardware and software, driving technical solutions from concept through deployment. The position involves designing software for data center servers, leading hardware bring-up and board support package development, and partnering directly with cloud service providers to co-develop, debug, and optimize features. It also requires collaboration across firmware, operating systems, middleware, and applications, with a focus on AI/ML and HPC workloads, as well as advanced system debugging and performance optimization in large-scale data center environments. The posting also describes NVIDIA's broader work introducing next-generation GPU/CPU-based products, with teams coordinating across Software, Hardware, Firmware, Marketing, and Operations to support product delivery and time-to-market. The stated salary ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The employee is also eligible for equity and benefits.

Requirements

Deep expertise in data center server architectures, HPC systems, and hardware-software co-design.
Expert knowledge of Linux kernel internals, device drivers, and communication protocols including PCIe, USB, and Ethernet.
Deep understanding of computer architecture and microprocessor concepts, with expert knowledge of ARM (aarch64) and x86 architectures.
Ability to debug kernel crash dumps and lock-up issues; hands-on experience with GDB, kdump, and eBPF tracing for 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 data center systems.
Strong programming skills in C/C++ and Python, plus experience with virtualization, Kubernetes, and cloud-native architectures.
Skill in complex system-level debugging, performance analysis, and test design.
BS or MS in Computer Engineering, Computer Science, or a related field, or equivalent experience.
10+ years of system software development experience.

Nice To Haves

Experience with GPU computing (CUDA) and deep learning workloads.
Expertise in out-of-band and in-band management architectures.
Knowledge of memory fabric and CXL architectures.

Responsibilities

Design and develop data center server software, including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-generation 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 and debug features and optimizations, and support new product introductions.
Collaborate with cross-functional teams to design end-to-end solutions spanning firmware, operating systems, middleware, and applications, with a 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.
Coordinate across functional teams to help keep complex software projects on track and support product time-to-market.