Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Distributed Systems @ 8
Go @ 4
Java @ 4
Leadership @ 6
Mathematics @ 4
Microservices @ 6
Security @ 4
Technical Leadership @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a highly skilled Principal Engineer to join the NGC Cloud Services team. You will help drive the efficiency, reliability, and scalability of systems supporting global business operations. The role focuses on automation, streamlining, and support solutions for critical operational workflows, enabling teams to operate seamlessly at global scale.
Responsibilities
- Architect and build scalable, distributed NGC Cloud services.
- Serve as a technical leader across various projects and contribute significantly to the overall platform architecture.
- Influence architecture and technical direction while empowering teams to own detailed design and implementation decisions.
- Drive operational excellence for secure, scalable secrets management and artifact management.
Requirements
- 15+ years of experience in distributed systems design and development.
- Master's degree in Computer Science or a related technical field involving coding, such as physics or mathematics, or equivalent experience.
- Advanced programming skills for building scalable backend services and microservices architectures.
- Specialist-level programming experience in Java, Go, and/or C++.
- Strong technical judgment in secrets management, OCI registries, and artifact management at enterprise scale.
- Strong interpersonal skills and the ability to work effectively with multifunctional teams, principals, and architects across organizational boundaries and geographies.
- A track record of successful technical leadership and large-scale architecture impacting critical projects.
- Ability to switch effectively between long-term strategic management and near-term tactical management.
Preferred Qualifications
- Experience with large-scale distributed systems and cloud multitenancy.
- Experience with secrets management, SPIFFE, SPIRE, supply-chain security, agent/AI platforms, and artifact management platforms at enterprise scale.
- A proactive approach to investigating and understanding technical requirements for open-ended problems.
- Experience in AI infrastructure, accelerated computing, model distribution, or regulated enterprise software delivery.
Compensation and Benefits
- Base salary range: $272,000–$431,250 USD.
- Eligible for equity and benefits.
Applications will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.
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