Senior Cloud Software Engineer, Developer Tools

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
25 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $236k
$111k $306k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $149,500–$201,250 — the blue band above. At the midpoint, this role pays about $236k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Cloud Software Engineer, Developer Tools

Role Posting Log in to save

As a Senior Cloud Software Engineer, Developer Tools, you will join the team to build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. You will architect cloud solutions that leverage microservices and frameworks to integrate with developer workflows, accelerating the full product lifecycle from coding to profiling and performance fine-tuning. Your daily responsibilities include designing high-performance, responsive SaaS to support concurrent developers with scalability and cost efficiency. You will collaborate with Product and Design teams to define specifications while mentoring engineers and reviewing code. Required skills include Python, Kubernetes, Infrastructure as Code, AWS, and DevOps practices like CI/CD. You must understand Linux virtualization for isolated GPU workloads or GPU profiling to solve complex problems in automated AI assisted CUDA development.

Skills

Python CUDA Kubernetes AWS Infrastructure as Code CI/CD Linux Virtualization GPU Profiling SaaS Web APIs SDKs CLIs Monitoring Microservices

What you'll do

  • Build and improve AI developer tools connected through web APIs, SDKs, CLIs, and Agents.
  • Architect and develop high-performance, scalable SaaS solutions for AI-assisted coding and profiling.
  • Integrate AI applications and research into developer workflows to accelerate the full product lifecycle.
  • Define feature specifications for next-generation AI services in coordination with Product and Design teams.
  • Align with other engineering teams on corporate infrastructure strategies and service enhancements.
  • Mentor engineers and perform regular code and design reviews.
  • Manage cloud solutions leveraging NVIDIA microservices and frameworks for high scalability and cost efficiency.

What we're looking for

  • B.S. in Computer Science or equivalent experience.
  • 8 years of industry experience.
  • Experience in large-scale user-facing application development using web/cloud services.
  • Familiarity with Kubernetes, Infrastructure as Code, and AWS.
  • Experience with DevOps including CI/CD, monitoring, and alerts.
  • Proficiency in Python.
  • Familiarity with Linux virtualization for isolated GPU workloads or GPU profiling and benchmarking.
  • Experience writing CUDA code and optimizing CUDA kernels (preferred).

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