Join NVIDIA's DGX Cloud Kubernetes API Services team and be at the forefront of building GPU-accelerated Kubernetes clusters supporting NVIDIA AI, robotics, and scientific computing projects. As an API Services Software Engineer, you will work across the stack with partner teams to bring NVIDIA's GPUs to life in a cloud or on-prem environment, ensuring end-to-end performance across compute, storage, and networking.
An API Services engineer is above all responsible for ensuring a good customer and developer experience on the DGX Cloud Kubernetes Platform, working with our Runtime and Cluster Architecture teams and more to be the voice of the customer. We serve both customers looking to access their GPU compute via Kubernetes for whatever workloads they wish, as well as developers looking to use our API automation to bring their own services such as node health monitoring to all of NVIDIA.
What you will be doing:
Help build out and scale customer-facing APIs and systems for the DGX Cloud Kubernetes Platform
Work with the Runtime and Cluster Architecture teams to provide a complete GPU-accelerated Kubernetes clusters to a wide variety of NVIDIA initiatives
Be the voice of our customers to ensure they have a smooth experience to access the compute they need for the workloads they want
Build platform services for other NVIDIA developers to bring their services to NVIDIA Kubernetes clusters
What we need to see:
BS/MS in Computer Science or related field (or equivalent experience).
8+ years of relevant work experience.
Experience in building foundational SaaS systems at scale, such as API design, user management, or authentication and authorization flows
Proficiency in Go and building Go services at scale
Experience with deploying and maintaining services atop Kubernetes
Experience writing automation with Kubernetes (i.e. Controllers, CustomResourceDefinitions, etc.)
Background with AWS or GCP and related technologies like S3, GCS, RDS, etc.
Ability to solve issues across multiple layers: infrastructure, Kubernetes, application runtime
Communicate effectively across a big organization, both within and outside the Kubernetes Platform organization
Ways to stand out from the crowd:
Experience working on internal tools and services for large engineering organizations
Experience working across multiple layers of cloud infrastructure such as CSP APIs, Terraform, Kubernetes, and custom controllers and automation atop
Experience working deeply in and with the upstream Kubernetes apiserver code
Background with user-facing APIs with a focus on customer and/or developer experience
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
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 on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!
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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.”
