Senior Linux Kernel Systems Software Engineer – CSP Engagements

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Machine Learning

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Software Development @ 4 Kubernetes @ 4 Linux @ 4 Python @ 7 Communication @ 4 Performance Optimization @ 4 Debugging @ 4 CUDA @ 4 GPU @ 4 Deep Learning @ 4 AI @ 4 HPC @ 4 Performance Analysis @ 4

Details

NVIDIA is seeking a Senior Software Engineer to join the 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.

Responsibilities

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.

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 (PCIe, USB, Ethernet).
Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.
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++ and Python.
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).
8+ years of system software development experience.

Ways to Stand Out

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.

Compensation and Benefits

Base salary ranges (location and level dependent):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
You will also be eligible for equity and benefits.

Additional Information

Applications for this job will be accepted at least until March 28, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.