Principal Software Engineer - Cloud Services

NVIDIA is hiring a Principal Software Engineer - Cloud Services in Santa Clara, United States. It pays $272k-$431k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
The listed pay starts 62% above the typical software engineer posting on Level.
Level classifies it as a lead role.
Level lists 2,800+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

At NVIDIA, we are seeking a highly skilled Principal Engineer to join our world-class NGC Cloud Services team. In this role, you will help drive the efficiency, reliability, and scalability of the systems that power our global business operations. This is an exceptional opportunity to shape how we automate, streamline, and support critical operational workflows across the organization. You will define how we implement innovative automation and support solutions, enabling teams to operate seamlessly and deliver impact at global scale—all within an encouraging and inclusive environment.

What you'll be doing:

Great opportunity to join the core group at NVIDIA working to architect and build scalable and distributed NGC Cloud services.
Be a technical leader on various projects across the platform, and be a major contributor of the entire platform’s architecture.
Influence architecture and technical direction while empowering teams to own detailed design and implementation decisions.
Drive operational excellence for secure, scalable secrets management, artifact management.

What we need to see:

15+ years of experience in distributed systems design and development.
Master’s degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
You possess advanced programming skills to build scalable backend services and micro services architecture. A specialist programmer in Java, Go and/or C++.
Strong technical judgment in secrets management, OCI registry, artifact management at enterprise scale.
Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.
A track record of successful technical leadership and large-scale architecture that impacted critical projects.
Switch effectively between long-term strategic management and near-term tactical management.

Ways to stand out from the crowd:

Experience with Large-scale Distributed System and cloud multi-tenancy.
Experience with Secrets management, SPIFFE, SPIRE, Supply-chain security, agent/AI platforms and artifact management platforms at enterprise scale.
A go getter attitude to investigate and understand technical requirements for open-ended problems.
Worked in AI infrastructure, accelerated computing, model distribution, or regulated enterprise software delivery.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Principal Software Engineer - Cloud Services at NVIDIA rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.