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.
You will also be eligible for equity and benefits.
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.Skills Required
- 15+ years of experience in distributed systems design and development.
- Master's degree in Computer Science or related technical field, or equivalent experience.
- Advanced programming skills to build scalable backend services and microservices architecture.
- Specialist programming experience in Java, Go and/or C++.
- Strong technical judgment in secrets management, OCI registry, and artifact management at enterprise scale.
- Ability to work successfully with multi-functional teams and coordinate across organizational boundaries and geographies.
- Track record of technical leadership and large-scale architecture impacting critical projects.
- Ability to balance long-term strategic management with near-term tactical management.
- Experience with large-scale distributed systems and cloud multi-tenancy.
- Experience with secrets management, SPIFFE, SPIRE, supply-chain security, and artifact management platforms at enterprise scale.
- Experience with agent/AI platforms, AI infrastructure, accelerated computing, or model distribution.
- Self-starter attitude to investigate and understand technical requirements for open-ended problems.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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