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.
Skills Required
- 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)
- Experience writing clean, maintainable, and testable code 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
- 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
