Senior Cloud Software Engineer

Posted 7 Days Ago
2 Locations
In-Office or Remote
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs and delivers SDKs and command-line interfaces for cloud GPU services. Responsibilities include defining requirements with partners and cross-functional teams, shaping technology and implementation methods, writing high-quality tested code, performance tuning, usability improvements, automation, maintenance, and documentation. The role focuses on distributed computing, highly available microservices, and cloud platforms supporting deep learning and AI.
Summary Generated by Built In

Are you ready to help build a better future, solve some of the hardest real-world problems using large scale distributed computing, concurrent and highly available microservices architecture in the cloud?


NVIDIA is looking for a Senior Cloud Software Engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.


What you'll be doing: 

  • Design, build and implement SDKs and CLIs to interact with Cloud GPU Services.
  • Engage with partners, backend engineers and cross-functional teams around the globe to define requirements and implement solutions and improvements of new/existing products..
  • Help drive the underlying technology stack and the implementation methodology.
  • Ensure high-quality code through unit testing and integration testing.
  • Drive performance tuning, usability improvements and test automation
  • Support, maintain and document software functionality. 

What we need to see: 

  • Bachelor's or Master's degree in Computer Science or related field (or equivalent experience).
  • 8+ years of experience in software development, with a focus on CLI/SDK tools.
  • Proficiency in programming languages such as Python, Go, or Rust.
  • Experience developing Python client code that works across Windows, Linux, and Mac 
  • Background with RESTful web services. 
  • Experience with Continuous Integration and Continuous Delivery. 
  • Excellent interpersonal and written communication skills required. 

Ways to stand out from the crowd: 

  • Knowledge of containerization technologies such as Docker and Kubernetes. 
  • Showcase relevant experience with cloud platforms
  • Open-source projects contribution
  • Demonstrate delivery of complex projects in previous roles. 
  • Experience with Code generation capability

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 23, 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
  • 8+ years of software development experience focused on CLI and SDK tools
  • Proficiency in Python, Go, or Rust
  • Experience developing Python client code across Windows, Linux, and Mac
  • Experience with RESTful web services
  • Experience with Continuous Integration and Continuous Delivery
  • Excellent interpersonal and written communication skills
  • Knowledge of Docker and Kubernetes
  • Experience with cloud platforms
  • Contributions to open-source projects
  • Experience delivering complex projects
  • Experience with code generation

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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