NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for a highly motivated Architect to join the NVIDIA DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure.
NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit Nvidia DSX Air.
What you'll be doing:
- The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems.
- Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture.
- Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies.
- Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible.
- Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability.
- Designing and optimizing deep networking solutions for container/k8s environments
- Continuous evaluation of existing system and driving improvements across our platform and AI integration layers.
What we need to see:
- 8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models.
- Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures.
- Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services.
- Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services.
- Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads.
- Deep understanding of advanced networking solutions and container/k8s networking
- Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs.
- Bachelors degree
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 creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking 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.
Skills Required
- 8+ years of experience in distributed microservices architectures (event-driven and reactive models)
- Deep familiarity with modern AI trends and AI platform architectures
- Deep understanding and hands-on experience with Kubernetes internals, control plane, and core services
- Proven experience developing, maintaining, and deploying Kubernetes ecosystem components such as operators and CRDs or customizing control plane services
- Demonstrated capability developing large-scale systems on Kubernetes and fine-tuning for massive workloads
- Deep understanding of advanced networking solutions for containers and Kubernetes (container/k8s networking)
- Programming background in one high-level language (e.g., Go or Python) for system development and POCs
- Bachelor's degree
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.”
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