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NVIDIA

Designs the chips and software that power AI

Senior Cloud Software Engineer - Developer Tools

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A B.S. in Computer Science or equivalent experience, with 12+ years of industry experience.
  • Experience developing large-scale user-facing applications using web or cloud services.
  • Experience with full-stack web UI development using React, JavaScript, HTML, and CSS.
  • Familiarity with Kubernetes, Infrastructure as Code, and AWS.
  • Experience with DevOps, including CI/CD, monitoring, and alerts.
  • Proficiency in Python.
  • Ability to collaborate with cross-functional partners through strong communication.
  • Familiarity with building agent workflows and harnesses, or sandboxing for agents or GPU environments in the cloud.

Responsibilities

  • Work with product and research teams to define feature specifications and build AI coding and profiling agents and services.
  • Architect, design, and develop high-performance, responsive SaaS that improves developer workflows with AI and supports many concurrent developers with high scalability, reliability, and cost efficiency.
  • Work with other engineering teams to align on corporate infrastructure strategies and improve or enhance existing services for external and internal customers.
  • Mentor engineers and review code and design.

Desired Qualifications

  • Experience writing CUDA code and optimizing CUDA kernels.
  • Experience with Kata Container or another VM-based container runtime.
  • Experience with GPU profiling and benchmarking performance in a consistent and repeatable way.
  • Proficiency in Rust.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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