Nvidia Senior Software Engineer – CSP Engagements 

United States, Texas 

164486356

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.

• 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).

• 8-12 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