Urwah Admin

NVIDIA

<div>NVIDIA is looking for a Senior Solutions Architect, Customer Success 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 blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
What You&rsquo;ll Be Doing:<ul><li>
Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.</li><li>
Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.</li><li>
Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.</li><li>
Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.</li><li>
Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.</li><li>
Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.</li></ul> 
What We Need to See:<ul><li>
Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.</li><li>
NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.</li><li>
Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.</li><li>
Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.</li><li>
System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).</li><li>
Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.</li><li>
Travel: Willingness to travel up to 25% for customer engagements.</li></ul> 
Ways to Stand Out from the Crowd:<ul><li>
Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.</li><li>
Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.</li><li>
Experience with multi-tenant GPU cluster management and workload scheduling frameworks.</li><li>
Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.</li><li>
Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.</li></ul></div>

Senior Solutions Architect, Customer Success

<div>NVIDIA is looking for a Senior Cloud Infrastructure and DevOps 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 communication skills. This role will engage directly with customers, partners, and multi-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation&mdash;serving as both a trusted advisor and a hands-on technical leader.
What You&rsquo;ll Be Doing:<ul><li>
Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).</li><li>
Provide consultative guidance and perform hands-on solving across the full stack&mdash;from bare metal and operating system, through the software stack, container platform, networking, and storage.</li><li>
Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.</li><li>
Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer partners.</li><li>
Support Research &amp; Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.</li><li>
Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.</li><li>
Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.</li></ul>
What We Need to See:<ul><li>
Education &amp; Experience: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience), with 8+ years of professional experience in leading scalable cloud environments and automation engineering roles.</li><li>
Cloud &amp; HPC Expertise: Shown understanding of networking fundamentals, data center architectures, and hands-on experience leading HPC/AI clusters, including deployment, optimization, and solving.</li><li>
NVIDIA GPU Expertise: Validated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.</li><li>
Kubernetes &amp; AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments.</li><li>
Hardware &amp; Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.</li><li>
Linux &amp; Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols. Experience with storage solutions such as Lustre, GPFS, ZFS, XFS, and emerging Kubernetes storage technologies.</li><li>
Automation &amp; Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems.</li><li>
Solution Architecture &amp; Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and speaking publicly to executive partners.</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Knowledge of CI/CD pipelines for software deployment and automation.</li><li>
Experience working with NVIDIA GPU and Network Operators to manage automated resource lifecycle in Kubernetes environments.
</li><li>Solid hands-on knowledge of Kubernetes and container-based microservices architectures.</li><li>
Experience with NVIDIA GPU and Network Operator for automated GPU as well as network resources lifecycle management in Kubernetes environments.</li><li>
Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and supervising GPU clusters at scale as well as background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.</li></ul></div>

Senior Solutions Architect, Cloud Infrastructure and DevOps

<div>NVIDIA&rsquo;s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.
What you'll be doing:<ul><li>
Play a key role in design, development, and deployment of high-performance agents&rsquo; frameworks and tools.</li><li>
Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.</li><li>
Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.</li><li>
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.</li><li>
Stay ahead by engaging with the latest advancements in machine learning and AI to build brand new solutions.</li><li>
Integrate technology-based optimizations into existing tools and flows.</li><li>
Lead with purpose and maintain high-quality engineering practices that encourage others to achieve excellence.</li></ul>
What we need to see:<ul><li>
BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.</li><li>
5+ years of relevant experience.</li><li>
Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.</li><li>
Solid understanding of GPU/CPU architectures and builds.</li><li>
Strong analytical skills to solve complex problems.</li><li>
Knowledge of HW verification methodologies and techniques.</li><li>
Hands-on experience with Verilog/System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.</li><li>
Excellent command of scripting using Python.</li><li>
Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.</li></ul>
Ways to stand out from the crowd:<ul><li>
Proven track record of integrating AI into hardware verification processes.</li><li>
Experience with innovative generative AI technologies.</li><li>
Demonstrated leadership in cross-functional team environments.</li><li>
Strong problem-solving abilities.</li><li>
Outstanding skills in optimizing AI algorithms for performance.</li></ul>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.</div>

AI for Design Engineer

<div>
 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people.
 
 
 Today, we&rsquo;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&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;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.
 
 
 Join NVIDIA and play a pivotal role in our future! As a B2B Accounts Payable Process Manager, you will be part of a top-tier finance team at our Corporate Office in Santa Clara, CA. Reporting directly to the Director of Accounts Payable, you will handle Accounts Payable exceptions and collaborate with essential vendors. This is an outstanding opportunity for a motivated professional to contribute to pioneering process improvement projects in a dynamic, fast-paced environment.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Maintain a comprehensive understanding of end-to-end Accounts Payable processes and provide training to ensure uniform practices.
 </li>
 <li>
 Handle the entire invoice processing cycle, including reconciliation and timely resolution of errors.
 </li>
 <li>
 Support AP automation projects through training, problem resolution, and testing.
 </li>
 <li>
 Monitor and report on critical metrics for the Vendor Invoice Management system.
 </li>
 <li>
 Collaborate closely with vendors and internal buyers to resolve issues promptly and efficiently.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 An undergraduate degree in Finance, Accounting, or equivalent experience in Accounts Payable.
 </li>
 <li>
 8+ years of proven experience in Accounts Payable.
 </li>
 <li>
 Proficiency in accounting software systems, particularly SAP, and experience with Vendor Invoice Management systems.
 </li>
 <li>
 Outstanding skills in MS Office, including Word, Outlook, Excel, and PowerPoint.
 </li>
 <li>
 Strong analytical abilities and excellent organizational skills with the capability to multi-task.
 </li>
 <li>
 Excellent customer service and communication skills.
 </li>
 <li>
 Demonstrated experience in process automation and improvement.
 </li>
 <li>
 Ability to work both independently and collaboratively within a team.
 
 
 </li>
 </ul>
 Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 195,500 USD.
 
 
 You will also be eligible for equity and benefits.
 
 
 Applications for this job will be accepted at least until April 13, 2026.
 
 
 This posting is for an existing vacancy.
 
 
 NVIDIA uses AI tools in its recruiting processes.
 
 
 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.
 
 
 , , JR2009435
 
 
</div>

Accounts Payable Specialist

Join NVIDIA and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

NVIDIA

About Company

Senior Solutions Architect, Customer Success

Senior Solutions Architect, Cloud Infrastructure and DevOps

AI for Design Engineer

Accounts Payable Specialist