Senior Software Engineer, Infrastructure

Run:ai, now part of NVIDIA, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a team of extraordinary individuals, we are looking for a highly skilled Senior Software Engineer to join the team and help shape the future of AI technology. The role of a Senior Software Engineer in the Run:ai group is to design and develop scalable, high-performance systems that support the next generation of AI workloads and infrastructure. 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:

• Designing 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 backend engineers, product managers, and other stakeholders to deliver impactful solutions.

• Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

• 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 design and architecture.

• Proficiency in at least one backend programming language (Go preferred).

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

• Deep familiarity with Kubernetes and the cloud-native ecosystem.

• 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.

• Hands-on experience with HPC, GPU virtualization, or AI/ML platforms.

• Experience working in Linux environments with knowledge of networking, security, and virtualization.

• Contributions to open-source projects or active participation in tech communities.

• Agile approach and familiarity with standard methodologies.

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.