NVIDIA is looking for a Senior Cloud Infrastructure Automation Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
We are looking for someone who combines deep technical expertise with strong consulting and interpersonal skills. This role will engage directly with customers, partners, and teams across multiple functions to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation—serving as both a trusted advisor and a hands-on technical leader.
What You’ll Be Doing:
Infrastructure Management & Orchestration — Advise on and maintain large-scale AI/compute infrastructure, including monitoring, logging, and workload orchestration via Kubernetes and Linux job schedulers. Perform analysis, optimisation, and performance tuning of GPU-accelerated systems to ensure high availability and efficiency.
Interconnect & Network Support — Support and validate high-speed interconnect fabrics (InfiniBand/Ethernet), including cabling verification, link-health checks, topology validation, and resolution of link-level issues such as transceiver faults and link flaps.
Technical Leadership — Act as the technical lead for assigned accounts, driving strategic guidance on DevOps and platform architecture. Lead engagements to resolve issues, advocate for customer needs, and facilitate post-deployment reviews and incident retrospectives. Develop and present high-quality runbooks, onboarding materials, and useful guides for customers and internal teams. Offer actionable insights into NVIDIA’s infrastructure roadmap.
What We Need to See:
Education & Experience — BS/MS/PhD in Computer Science, Engineering, Physics, Mathematics or related fields, with 5+ years managing scalable cloud environments and automation engineering. Native or professional fluency in English.
Cloud, HPC & Infrastructure — Experience in networking, data centre architectures, and hands-on management of HPC/AI clusters. Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and familiarity with HPC/AI hardware (CPUs, GPUs, high-speed interconnects) and supporting software stacks.
Kubernetes, Automation & Observability — Experience in Kubernetes for container orchestration and GPU-accelerated workloads. Proficiency in Python/Bash scripting, automation tools (Ansible, Terraform), and observability stacks (Grafana, Loki, Prometheus) for monitoring and fault-tolerant systems.
Solution Architecture & Customer Engagement — Background in crafting scalable solutions, providing consultative support, leading architectural reviews, and presenting to executive team members.
Ways to Stand Out from the Crowd:
DevOps & Observability — Proficiency in CI/CD pipelines for deployment automation, plus hands-on experience with monitoring/visualisation tools (Grafana, Prometheus, Loki) for alerting and fault-tolerant systems.
Container & Orchestration Expertise — Experience with Kubernetes and container-based architectures, including familiarity with NVIDIA GPU and Network Operators.
NVIDIA GPU Infrastructure — Hands-on experience with Base Command Manager (BCM) for provisioning and managing GPU clusters at scale, the CUDA toolkit, and RDMA-based fabrics (InfiniBand/RoCE) in HPC or AI environments.
Language Skills — Knowledge of Mandarin or another Southeast Asian language to support regional engagement.
NVIDIA is widely considered one of the most desirable employers in the technology sector. The company supports a diverse work environment and is 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. If you are creative, autonomous, and passionate about building the next generation of Agentic AI infrastructure, we want to hear from you!
Skills Required
- BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics, or a related field
- 5+ years managing scalable cloud environments and automation engineering
- Native or professional fluency in English
- Experience with networking, data center architectures, and hands-on management of HPC or AI clusters
- Deep knowledge of Linux, including Red Hat and Ubuntu
- Knowledge of CPUs, GPUs, high-speed interconnects, and supporting HPC or AI software stacks
- Experience using Kubernetes for container orchestration and GPU-accelerated workloads
- Proficiency in Python and Bash scripting
- Experience with Ansible and Terraform
- Experience with Grafana, Loki, and Prometheus observability stacks
- Background crafting scalable solutions, providing consultative support, leading architectural reviews, and presenting to executives
- CI/CD pipeline experience for deployment automation
- Experience with NVIDIA GPU and Network Operators
- Hands-on experience with Base Command Manager, CUDA, and RDMA-based InfiniBand or RoCE fabrics
- Knowledge of Mandarin or another Southeast Asian language
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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