Senior Software Engineer, AI Platform

Run:ai, now part of NVIDIA, has transformed AI infrastructure by integrating GPU virtualization with Kubernetes-native capabilities. Our world-class AI platform gives organizations access to improved productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we create modern technologies. We provide a smooth user experience and transparency into workload performance through comprehensive metrics that enable users to optimize AI workloads. We are looking for highly skilled software engineers to join our Infrastructure Group and help develop the future of AI infrastructure.

The role of a Senior Software Engineer in the Infrastructure Group is to build and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.

What you’ll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with engineers, product managers, and other stakeholders to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go.

Conducting code and design reviews to uphold high-quality standards and mentor team members.

What we need to see:

B.Sc. in Computer Science or a related field or equivalent experience.

5+ years of experience in backend software development, including system building and architecture.

Proficiency in at least one backend programming language (We write in Go).

Deep familiarity with Kubernetes and the cloud-native ecosystem.

Strong understanding of microservices architecture, RESTful APIs, and relational databases.

Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions.

Ways to stand out from the crowd:

Expertise in Kubernetes internals and advanced cloud-native technologies.

Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

Hands-on experience with HPC or AI/ML platforms.

Familiarity with AI inference workloads and performance optimization.

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're creative and autonomous, we want to hear from you!

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.