Senior Software Engineer

1 Day ago • 5 Years + • Backend Development

Job Summary

Job Description

As a Senior Software Engineer at NVIDIA's Run:ai platform group, you'll design and develop highly scalable, reliable, and performant enterprise-grade systems for next-generation AI workloads. This involves building and optimizing microservices using Kubernetes and cloud-native technologies. You will collaborate with backend engineers, product managers, and other stakeholders, writing clean, maintainable, and testable Go code. Responsibilities include code and design reviews, mentoring team members, and tackling complex technical challenges to deliver impactful solutions that push the boundaries of AI capabilities.
Must have:
  • 5+ years backend development experience
  • Proficiency in Go
  • Microservices architecture expertise
  • Kubernetes and cloud-native skills
  • System design and architecture knowledge
Good to have:
  • Kubernetes internals expertise
  • HPC or AI/ML platform experience
  • Linux proficiency (networking, security, storage, virtualization)

Job Details

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 focus on innovation, we are dedicated to developing cutting-edge technologies and delivering the best user experience for our customers. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.

The role of a Senior Software Engineer in the Platform Group is to design 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:

  • 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
  • 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.
  • 5+ years of experience in backend software development, including system design and architecture.
  • Proficiency in at least one backend programming language (We write in Go).
  • 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 or AI/ML platforms.
  • Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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