NVIDIA

NVIDIA

Posted via Workday

Senior Cloud Software Engineer, Developer Tools

Posted Sep 2, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level 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 either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way. Ways to stand out from the crowd: Experience writing CUDA code and optimizing CUDA kernels. Experience with Kata Container or any other VM-based container runtime.
Education
B.S. (or equivalent experience) in Computer Science

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Role Summary

AI-generated

This role builds AI-assisted developer tools for CUDA development through web APIs, SDKs, CLIs, and agents. It focuses on cloud-based coding and profiling services that integrate with developers’ workflows across the product lifecycle.

What You'll Do

  • Work with Product and Design teams to define feature specifications and build AI-assisted coding and profiling services and skills.
  • Architect, design, and develop high-performance, responsive SaaS for developer workflows, supporting many concurrent developers with...
  • Architect cloud solutions using NVIDIA microservices and frameworks, along with AI applications and research, to integrate with...
  • Coordinate with engineering teams on infrastructure strategies and improve or enhance existing services.
  • Mentor engineers and review code and design.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

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; DevOps experience including CI/CD, monitoring, and alerts; Python proficiency; strong communication skills; and familiarity with either Linux virtualization for isolated GPU workloads in the cloud or GPU profiling and repeatable performance benchmarking.

Preferred

  • Experience writing CUDA code and optimizing CUDA kernels.
  • Experience with Kata Container or any other VM-based container runtime.

Original job description

Content provided by the employer

We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning.

In this role, you will architect cloud solutions that leverage NVIDIA microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.

What you'll be doing:

  • Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills.

  • Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.

  • Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services.

  • Mentor engineers and review code and design.

What we need to see:

  • 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 either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.

Ways to stand out from the crowd:

  • Experience writing CUDA code and optimizing CUDA kernels.

  • Experience with Kata Container or any other VM-based container runtime.

With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.