Senior Cloud Software Engineer, AI Dev Tools (Equity)

Nvidia Corporation in

Santa Clara (CA)

On-site

USD 184,000 - 288,000

Full time

7 days ago
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Job summary

NVIDIA seeks a Senior Cloud Software Engineer for Developer Tools (Finance) to build AI developer tools connected through web APIs, SDKs, CLIs, and Agents, enabling rapid prototyping and scalable CUDA development from coding to profiling.

You will architect cloud solutions using NVIDIA microservices, mentor engineers, and collaborate with product and design teams to deliver high-performance SaaS that supports many developers with reliability and cost efficiency.

Qualifications

  • B.S. (or equivalent experience) in Computer Science with 8 years of industry experience.
  • Experience in large-scale user-facing application development using web/cloud services.
  • Familiar with Kubernetes, Infrastructure as Code, AWS.
  • Experience with DevOps including CI/CD, monitoring and alerts.
  • Proficiency in Python.
  • Strong communication skills to collaborate with cross-functional partners.
  • Familiar with Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling/benchmarking.

Responsibilities

  • Define feature specifications with Product and Design teams for AI-assisted coding and profiling services.
  • Architect, design and develop high-performance SaaS that scales for many concurrent developers.
  • Collaborate with other engineering teams to align on infrastructure strategies and improve services.
  • Mentor engineers and review code and design.

Skills

Python
Cloud software development
Communication skills

Education

Bachelor's degree in Computer Science

Tools

Kubernetes
AWS
Infrastructure as Code

Job description

NVIDIA seeks a Senior Cloud Software Engineer for Developer Tools (Finance) to build AI developer tools connected through web APIs, SDKs, CLIs, and Agents, enabling rapid prototyping and scalable CUDA development from coding to profiling.

You will architect cloud solutions using NVIDIA microservices, mentor engineers, and collaborate with product and design teams to deliver high-performance SaaS that supports many developers with reliability and cost efficiency.

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