Principal Software Engineer – CSP Engagements at NVIDIA

Department: Engineer, Sys SW

Compensation

$272,000 – $431,250/yr

Setup: On-site
Location: California
Type: Full-time
Level: staff+
Posted: Sep 14, 2026

Description

NVIDIA is hiring a Principal Software Engineer for its Data Center Systems and Software CSP engagements team. The role leads system software architecture and technical deep dives for NPI projects with cloud service provider and hyperscaler customers, aligns customer roadmaps with NVIDIA’s roadmap, resolves complex customer issues, makes technical decisions, and defines architecture for complex server platforms. The position requires extensive server system software and hardware interface experience, leadership in complex environments, knowledge of ARM and x86 architectures, and expertise in Linux kernel device drivers, system debugging, performance analysis, and test design. The base salary range is 272,000 USD to 431,250 USD, with equity and benefits, and applications were accepted until September 18, 2026.

Required Skills

Server architecture
ARM architecture
x86 architecture
Linux drivers
System debugging
Performance analysis
Test design
CUDA computing

Additional Information

Minimum Education: Bachelor's or master's degree in Computer Engineering, Computer Science, or a related field, or equivalent experience with over 15 years in system software architecture and development
Required Previous Experiences: Extensive experience designing scalable, high-performance server systems at the software/hardware interface
Leadership and project ownership in complex software and hardware environments
Deep understanding of computer architecture, microprocessor concepts, and ARM and x86 architectures
Proficiency in system software design, operating system fundamentals, Linux kernel device drivers, and low-level hardware/software interfaces
Experience with complex system-level debugging, performance analysis, and test design
Preferred Qualifications: Knowledge of cloud and cluster-level deployment and management systems
Expertise in out-of-band and in-band management architectures
Experience with GPU computing, CUDA, and deep learning workloads
Knowledge of memory fabric and CXL architectures

About NVIDIA

NVIDIA

人工智能计算Santa Clara, CA, US

NVIDIA invents the GPU and drives advances in AI, high-performance computing, gaming, creative design, autonomous vehicles, and robotics. Its accelerated computing, libraries, and AI models enable software makers and industry manufacturers to develop products using large-scale, physically accurate simulations and interactive digital twins.

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