Expoint – all jobs in one place
The point where experts and best companies meet
Limitless High-tech career opportunities - Expoint

Nvidia Principal Software Engineer – CSP Engagements 
United States, California 
829119953

02.07.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted Today
job requisition id

What you’ll be doing:

  • 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.

What we need to see:

  • 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

You will also be eligible for equity and .