NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
**What you'll be doing: **
- Work with the DGX Cloud Lepton Marketplace team to establish integrations with NVIDIA Cloud Partners, enabling global developers to easily access GPU-optimized virtual machines.
- You will craft and implement IaaS API integrations, collaborating with external engineering teams to ensure reliable, scalable, and consistent connectivity across diverse cloud environments.
- Shape integration strategies, develop stateful workflow orchestration, and drive improvements in testing, observability, and automation to ensure high-quality, fault-tolerant solutions.
- Be responsible for developing the two-sided marketplace, including the integration of compute providers and crafting discovery and bidding experiences to match supply with demand.
**What we need to see: **
- 5+ years of experience in developing software infrastructure for large-scale AI systems, with a proven track record of impact.
- Expertise in software engineering with kubernetes, including cluster operations, operator development, node health monitoring, and GPU resource scheduling.
- Familiarity with setting up cloud infrastructure environments (VMaaS, VPCs, RDMA, shared file-systems).
- Proven ability to handle 3rd party API integrations, including communication with external teams, writing API clients, and improving integration reliability.
- Comfort in a fast-paced environment, with the ability to collaborate and debug integrations with external engineering teams.
- Strong technical knowledge, including proficiency in a systems programming language (preference for Go) and a solid understanding of software design patterns for stateful workflow orchestration.
- BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree or equivalent experience.
Join our dynamic team if you love cloud infrastructure, kubernetes, distributed systems, and API development.