Cloud Services Software Engineer

NVIDIA Corporation; EE. UU.; Presencial; USD 152.000 - 288.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

NVIDIA Corporation is seeking a software engineer specializing in backend development to strengthen infrastructure for AI platforms. You'll design and optimize microservices managed by Kubernetes, build APIs for resiliency stacks, and enable scalable training workflows on NVIDIA hardware across cloud and on-premise environments.

The role emphasizes cloud and HPC integration, distributed systems, and high-performance languages.

Formación

• Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
• 5+ years of hands-on backend development experience with Python, Go, C/C++, or similar high-performance languages.
• Proven track record of building and scaling large-scale distributed systems.
• Experience with cloud platforms (AWS, Azure, GCP) and container tech (Docker, Kubernetes).

Responsabilidades

• Develop backend services and APIs for AI platforms and training workflows.
• Design, implement, and optimize microservices orchestrated by Kubernetes.
• Co-design APIs to integrate with NVIDIA resiliency stacks across telemetry, automation, and checkpointing systems.
• Build submission abstractions for long-running training jobs with fault-tolerant lifecycles.
• Collaborate to deploy modular services on NVIDIA on-premises AI clusters.

Conocimientos

Python

Go

C/C++

Distributed systems

Kubernetes

Docker

Educación

Bachelor's degree or higher in Computer Science or related field

Herramientas

AWS

Azure

GCP

Slurm

Descripción del empleo

What You Will Be Doing:

As a software engineer specializing in backend development, you'll work in a dedicated team to enhance the infrastructure and products that underpin NVIDIA's AI platforms. Your work will be essential in enabling innovative AI research, focusing on:

• Developing solutions at the intersection of machine learning, distributed systems, and high-performance computing, supplying to the advancement of AI technologies.
• Designing, developing, and optimizing (micro-)services orchestrated by Kubernetes to provide large-scale AI training workflows on AI training supercomputers located at major CSPs, with resiliency and efficiency.
• Co-designing and implementing the APIs that allow these services to integrate vertically with NVIDIA's resiliency stacks, ranging from tier-0 telemetry services to break/fix automation services to checkpoint and execution systems.
• Crafting a submission abstraction that enables model engineers and training platforms/frameworks to seamlessly submit long-running training jobs while hiding the complexity of handling infrastructure failures, running job lifecycles with auto-restarts on failure, ensuring full efficiency, and promptly advising users.
• Crafting these services to be modular, enabling them to be coordinated with and deployed onto on-premises AI clusters that apply NVIDIA Hardware and Cloud services.

What We Need To See:

• A Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
• 5+ years of hands-on experience in backend development, preferably with Python, Go, C/C++, or similar high-performance languages.
• Consistent track record of building and scaling large-scale distributed systems.
• Experience with cloud computing platforms such as AWS, Azure, and GCP, as well as container technologies like Docker and Kubernetes, and HPC/AI platforms such as Slurm.

Ways to Stand Out from the Crowd:

• Real world experience in DL frameworks, orchestrators like PyTorch, TensorFlow, JAX, and Ray
• Experience in developing a framework plugin architecture that allows the framework to be integrated with the cluster scheduler visibly to the users
• Strong understanding of NVIDIA GPUs, network technologies, and their failure patterns.
• Experience with AI models and AI based tools.
• Provide references to your code contributions.

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity Employer Statement

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.