Principal Software Engineer – CSP Engagements

Reposted 7 Days Ago
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Santa Clara, CA
In-Office
272K-426K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Principal Software Engineer will lead architecture and development efforts for next-generation Data Center products, collaborating with customers and addressing complex technical issues.
Summary Generated by Built In

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.

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

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Arm
Cuda
Linux
X86
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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