Senior Cloud AI Tools Engineer (SaaS)

NVIDIA

Jasper (AL)

On-site

USD 184,000 - 288,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a Senior Software Engineer to help build AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents, enabling rapid prototyping and automated CUDA development.

In this role, you will architect cloud solutions that leverage NVIDIA microservices and AI applications to integrate with developers' workflows, accelerating the full product lifecycle from plan to profiling and tuning.

Qualifications

  • B.S. (or equivalent) in Computer Science with 8 years of industry experience.
  • Experience in large-scale user-facing application development using web/cloud services.
  • Familiarity 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.
  • Familiarity with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.

Responsibilities

  • Define feature specifications with Product and Design to build AI assisted coding and profiling services.
  • Architect, design and develop high-performance SaaS to improve developers' workflows with AI at scale.
  • Coordinate with other engineering teams to align on infrastructure strategies and enhance existing services.
  • Mentor engineers and review code and design.

Skills

Python
Kubernetes
AWS
CI/CD
DevOps
Communication

Education

B.S. in Computer Science

Tools

Kubernetes
Terraform
CloudFormation
AWS

Job description

NVIDIA is seeking a Senior Software Engineer to help build AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents, enabling rapid prototyping and automated CUDA development.

In this role, you will architect cloud solutions that leverage NVIDIA microservices and AI applications to integrate with developers' workflows, accelerating the full product lifecycle from plan to profiling and tuning.

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