Senior Cloud Software Engineer - CLI and SDK at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

356500.0

Posted On

22 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, AI, SDK Development, CLI Development, Python, Go, Rust, RESTful Web Services, Continuous Integration, Continuous Delivery, Performance Tuning, Test Automation, Microservices, Documentation, Interpersonal Skills, Communication Skills

Industry

Computer Hardware Manufacturing

Description

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAn, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. 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 Senior Cloud Software Engineers who see the big picture of Cloud Computing and AI. This essential role will give you a rare opportunity to craft and deliver a new class of GPU services for Cloud Computing in the fields of Deep Learning and AI. Your work will create tools to drive Deep Learning, AI and Visual Computing. 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 Experience with RESTful web services. Background 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 25, 2025. NVIDIA is committed to fostering a diverse 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 is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design, build, and implement SDKs and CLIs to interact with Cloud GPU Services. Engage with partners and cross-functional teams to define requirements and implement solutions.