Senior Linux Kernel Systems Software Engineer...

NVIDIA Ltd.
Santa Clara, CA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$184,000.0 - $287,500.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computing Platforms Big Data C++ (Programming Language) Cloud Engineering Communications Protocols Nvidia CUDA Computer Programming Computer Engineering Data Centers Software Debugging Device Drivers
+20 more
Microprocessors Middleware Embedded Software Ethernet Firmware General-Purpose Computing on Graphics Processing Units X86 Assembly Languages Python (Programming Language) Linux Kernel PCI Express Performance Tuning Cloud Services Software Engineering System Software USB Virtualization Technology High Performance Computing Deep Learning Kubernetes Information Technology

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., Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA’s next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track!

Requirements

  • 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

Benefits & conditions

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.

About the company

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you’re creative, hardworking and self-motivated, we want to hear from you!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:12 min

Addressing the competitive landscape of specialized hardware demands

Hazal Mestci +1 · Coffee With Developers

2:19 min

Orchestrating over-the-air firmware updates for vehicle modules

Denis Grahovac · WWC 2021

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

5:35 min

Direct hardware communication using the Web USB API

Rowdy Rabouw Rowdy Rabouw · WWC 2025

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · WWC Europe 2026

2:20 min

Utilizing custom firmware for variable torque manipulation

Daniel Meilak Daniel Meilak +1 · WWC Europe 2026

Videos

See all

Related articles

See all