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
Posted: 10 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 $180k

This role $236k

$112k most similar roles pay here $306k

This role pays more than 91% of similar roles. Most pay $153,684–$206,450 — the shaded band above. At the midpoint, this role pays about $236k versus about $180k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Cloud Software Engineer, Developer Tools

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As a Senior Cloud Software Engineer, Developer Tools, you will join the team to build and improve AI developer tools integrated through web APIs, SDKs, CLIs, and Agents. You will architect high-performance, scalable SaaS solutions that integrate with microservices and frameworks to automate the product lifecycle including coding, profiling, and performance fine-tuning. Your daily work involves collaborating with Product and Design teams to define features, mentoring engineers, and reviewing code. The role requires proficiency in Python and experience with Kubernetes, Infrastructure as Code, AWS, and CI/CD pipelines. You will solve technical challenges related to Linux virtualization for isolated GPU workloads and consistent benchmarking. Specialized knowledge in CUDA code, optimizing kernels, or VM-based container runtimes like Kata Containers is highly valued to support the next generation of AI-assisted development tools.

Skills

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

What you'll do

Build and improve AI developer tools via web APIs, SDKs, CLIs, and Agents.
Architect high-performance, scalable SaaS solutions to enhance developer workflows with AI.
Develop services for automated CUDA development, including coding, profiling, and performance fine-tuning.
Integrate NVIDIA microservices and frameworks into products to accelerate the full product lifecycle.
Define feature specifications in collaboration with Product and Design teams.
Align on corporate infrastructure strategies and improve existing internal services.
Mentor junior engineers and perform code and design reviews.

What we're looking for

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

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