Principal Software Engineer – CSP Engagements

Details

NVIDIA is seeking a strategic and technically proficient Principal Software Engineer to join the Data Center Systems and Software CSP engagements team. As a leader and technologist, you will play a pivotal role contributing significantly to the architecture and development of next-generation Data Center products, acting as the technical focal point for select CSP (Cloud Service Provider) and Hyperscalers.

Responsibilities

• Drive system software architecture alignment and technical deep dives, acting as the primary software engineering contact for NPI projects with key customers.
• Collaborate with major customers to understand their roadmap, use cases, and requirements, aligning them with NVIDIA's roadmap.
• Spearhead cross functional efforts to resolve complex and high-profile customer issues during NPI phase.
• Make key technical decisions even when faced with ambiguity and mitigate execution risks by following left shift strategy.
• Build and maintain customer trust by understanding and addressing their needs.
• Work closely with cross-functional architects in defining system software architecture for complex server platforms.

Requirements

• Extensive experience in designing scalable, high-performance server systems at the SW/HW interface.
• Expertise in server system architecture and its impact on application performance.
• Proven leadership skills with strong project ownership in complex software and hardware environments.
• Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.
• Proficient in system software design, OS fundamentals, Linux kernel device drivers, and low-level hardware/software interfaces.
• 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 with over 15 years in system software architecture and development.

Ways to Stand Out From the Crowd

• 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), deep learning workloads.
• Knowledge of Memory fabric and CXL architectures.

NVIDIA is a leader in AI, HPC, and Visualization, employing some of the most forward-thinking professionals worldwide. This role offers opportunities to work on groundbreaking GPU/CPU products and collaborate closely with teams across software, hardware, firmware, marketing, and operations to deliver top-tier products.

You will also be eligible for equity and benefits. NVIDIA is an equal opportunity employer committed to diversity and inclusion.