Senior Infrastructure Engineer – Bazel Remote Execution

at Nvidia

📍 Santa Clara, United States

USD 184,000-287,500 per year

SENIOR

✅ Remote

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 Distributed Systems Go @ 7 Java @ 7 Kubernetes Machine Learning Microservices

Details

Role Overview

NVIDIA is working on a private cloud system that supports various teams across NVIDIA. The role involves scaling cloud services to run on thousands of servers and handling millions of automated jobs every day.

Responsibilities

Craft creative scalable cloud solutions for running millions of jobs, thousands of systems, and petabytes of storage.
Address infrastructure challenges including 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 that cater to their requirements.

Requirements

Proven experience developing scalable cloud infrastructure solutions from concept to production.
Background in AI/ML and Data Analytics and their application in infrastructure.
Strong object-oriented programming experience, with a preference for Java or Go.
Ability to collaborate across multiple teams and different time zones.
Bachelor’s degree or equivalent experience.
8+ years of experience in infrastructure development.

Ways to Stand Out

Strong hands-on experience with Bazel Remote Execution (Buildbarn, Buildfarm, or similar).
Expertise in crafting and scaling microservices and deploying them on Kubernetes clusters.
Built robust distributed systems for heterogeneous platforms.
Experience working in infrastructure or on hardware systems.
Solid programming skills in Golang (preferred) and/or Java.