What are the responsibilities and job description for the Senior Software Engineer - Cloud and Kubernetes position at NVIDIA AI?
Job Requisition ID
JR2014757
Job Category
Engineering
Time Type
Full time
NVIDIA is seeking an exceptional Senior Software Engineer to help design and build our next-generation cloud platforms. We’re looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by Kubernetes, ConnectX, BlueField NICs, and GPUs. You’ll join a dynamic team developing high-performance computing infrastructure used in some of the world’s largest supercomputers and data centers. This is a fast-paced, collaborative environment where you’ll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.
What You’ll Be Doing
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 May 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
JR2014757
Job Category
Engineering
Time Type
Full time
NVIDIA is seeking an exceptional Senior Software Engineer to help design and build our next-generation cloud platforms. We’re looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by Kubernetes, ConnectX, BlueField NICs, and GPUs. You’ll join a dynamic team developing high-performance computing infrastructure used in some of the world’s largest supercomputers and data centers. This is a fast-paced, collaborative environment where you’ll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.
What You’ll Be Doing
- Design and develop scalable, cloud solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).
- Contribute to NVIDIA’s AI supercomputing platforms
- Collaborate with cross-functional teams to deliver new features and improve existing products.
- Design and develop robust software systems.
- BSc in Computer Science or equivalent experience.
- 7 years of software development experience with Go/C/C /Rust.
- Strong hands-on development experience with the K8s ecosystem.
- Familiarity with CI/CD tools such as Jenkins, GitLab, or GitHub.
- Proven ability to design, develop, debug, and maintain complex distributed systems.
- Excellent communication skills and the ability to collaborate across teams and geographies.
- Self-starter with adaptability and eagerness to learn new technologies.
- Experience building K8s operators/controllers.
- Background in HPC or AI infrastructure technologies.
- Strong networking background
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 May 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.