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 @ 6
Deep Learning
Distributed Systems @ 4
Go @ 7
Java @ 7
Kubernetes @ 6
Machine Learning
Microservices @ 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 developing a private cloud system that supports teams across the company, scaling cloud services to run on thousands of servers, handle millions of automated jobs every day, and store petabytes of data. The role supports teams working in graphics processors, mobile processors, deep learning, artificial intelligence, autonomous vehicles, and Omniverse.
Responsibilities
- Design creative, scalable cloud solutions for running millions of jobs across thousands of systems and petabytes of storage.
- Address infrastructure challenges involving Kubernetes, job scheduling, multi-region services, resource management, and automated recovery.
- Create agentic workflows for infrastructure.
- Collaborate with customers to understand their needs and develop innovative solutions.
Requirements
- Proven experience developing scalable cloud infrastructure solutions from concept through production.
- Background in AI/ML, data analytics, and their application to infrastructure.
- Strong object-oriented programming background, preferably with Java or Go.
- Ability to collaborate effectively across multiple teams and time zones.
- Bachelor's degree or equivalent experience.
- At least 8 years of experience in infrastructure development.
Preferred Qualifications
- Strong hands-on experience with Bazel Remote Execution, including Buildbarn, Buildfarm, or similar systems.
- Expertise designing and scaling microservices and deploying them on Kubernetes clusters.
- Experience building robust distributed systems for heterogeneous platforms.
- Experience working in infrastructure or on hardware systems.
- Solid programming skills in Golang and/or Java.
Compensation And Benefits
The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The position is also eligible for equity and benefits. Applications will be accepted at least until June 19, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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