Urwah Admin

NVIDIA

<div>We are looking for a driven, diligent, and hard-working leader to join NVIDIA&rsquo;s DGX Program Management team, focusing on delivery readiness and the documentation lifecycle for NVIDIA Mission Control, which enables new enterprise systems at the heart of cross-industry AI advancement. As a partner with engineering, product, QA, provide technical teams in the end-to-end documentation release management process, ensuring high-quality, timely documentation that aligns with software releases and supports our impact across leading academic and industry organizations. You will manage multiple parallel efforts&mdash;including documentation release calendars, VPRs, and training&mdash;by aligning incremental breakthroughs with production cycles, while developing and improving processes for scheduling, version control, and post-release validation to optimize delivery pipelines and reduce risk.
What You&rsquo;ll Be Doing:<ul><li>
Orchestrate cross-functional alignment between Engineering, Technical Marketing, and Product Management to certify that all critical enablement assets&mdash;from low-level release notes to partner resources&mdash;meet rigorous production-grade standards.</li><li>
Scale Technical Content Operations: Manage the integrity and versioning of complex technical repositories across Git-based version control systems and enterprise documentation portals, maintaining consistency across parallel development branches.</li><li>
Architect the Documentation Lifecycle: Build and supervise a robust, end-to-end documentation strategy, ensuring that sophisticated deployment, administration, and multi-platform guides are synchronized with software release cadences.</li><li>
Direct Virtual Product Reviews (VPR): Lead the technical validation strategy by conducting reviews with Solution Architects to stress-test platform features, identifying architectural gaps or performance bottlenecks prior to customer exposure.</li><li>
Drive Closed-Loop Issue Resolution: Translate review findings into actionable engineering roadmaps by managing the lifecycle of tracking bug tickets and product requirement cards, ensuring that technical debt and findings are validated, prioritized, and resolved.</li><li>
Lead Technical Enablement Curricula by synthesizing complex feature sets into comprehensive training programs, identifying subject matter experts to deliver deep-dive technical sessions that prepare global field teams for new enterprise system capabilities.</li><li>
Manage Infrastructure-Backed Training Logistics: Oversee the operational deployment of NVIDIA Mission Control (NMC) clusters for hands-on technical training, managing resource contention and global scheduling for high-scale enablement events.</li></ul>
What We Need to See:<ul><li>
Strategic Roadmap Execution: Drive alignment across organizations while synchronizing deliverables and requirements using tools like Aha! or Jira.</li><li>
Expert Release Management: 9+ years of experience in Technical Program Management to coordinate complex software release lifecycles and large-scale technical operations.</li><li>
Infrastructure &amp; Versioning Mastery: Manage Git-based content workflows and repository management</li><li>
Quality &amp; Bug Tracking: Utilize enterprise issue tracking and defect management systems to maintain high standards for software quality
</li><li>Distribution &amp; Enablement: Coordinate web-based documentation portals and partner enablement ecosystems.</li><li>
Strategic Leadership: Proven track record of navigating ambiguity and driving consensus across diverse engineering and product organizations</li><li>
BS or MS in Computer Science, Computer Engineering, or a related technical discipline (or equivalent experience).</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience with datacenter infrastructure management software and the vital documentation to deploy and manage it.</li><li>
Deep understanding of software engineering principles and enterprise system architecture</li><li>
Skilled in modern documentation tools, and practical familiarity with efficiency tools and process automation</li></ul>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.<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 May 2, 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>

Senior Technical Program Manager - Software Release and Documentation

<div>Simulations are transforming due to AI. Handcrafted game-engine simulators are being replaced by neural simulations, involving data-driven scene reconstruction and AI-generated environments. These advances enable testing and training in driving and robotics at levels of fidelity and scale not seen before. NVIDIA's AlpaDreams model and AlpaSim stack are redefining the baseline for next-generation simulation.
We are seeking an engineering leader to productize these outstanding technologies. You will build a team and transform innovative research in neural rendering, simulation, and learning into a durable, modular, production-level platform. This position connects research and production &mdash; requiring deep technical expertise to evaluate research and practical skill to deliver a world-class platform. You'll work alongside outstanding research teams and NVIDIA leadership. If turning breakthrough research into something developers rely on every day sounds like the best job you can envision, we'd love to talk!
What you'll be doing:<ul><li>
Establish AlpaSim and AlpaDreams as the open-source standard for neural simulation in AV, and scale the team and community to get there.</li><li>
Integrate the most recent findings in neural rendering, simulation, and learning into a modular architecture that allows for quick investigation of this field.</li><li>
Own product and engineering excellence &mdash; performance, scalability, reliability, developer experience, CI/CD, release management.</li><li>
Partner with research teams to translate breakthroughs into production-ready platform capabilities.</li><li>
Lead the research-to-production pipeline: transform delicate prototypes into reliable tools that developers can rely on.</li></ul>
What we need to see:<ul><li>
Demonstrated record of meaningful achievements in the Graphics, Simulation, Robotics, Machine Learning, or AV fields.</li><li>
12+ overall years experience, 5+ years leading teams.</li><li>
Bachelors degree or equivalent experience.</li><li>
Demonstrated experience turning research-stage systems into dependable, scalable products.</li><li>
Strong understanding of ML frameworks, distributed systems, and production infrastructure.</li><li>
Results-focused leadership - you build the process, hit the dates, and hold the quality bar.</li></ul>
Ways to stand out from the crowd:<ul><li>
Direct experience with AV simulation platforms like CARLA, Applied Intuition, dSPACE, or internal OEM tools is a huge plus.</li><li>
Experience across the AV ecosystem - OEMs, Tier-1s, startups, research labs - and understanding what they actually need from a simulation platform.</li><li>
Previous work on neural rendering, differentiable simulation, or generative world models.</li><li>
Experience building developer ecosystems or research communities around open-source projects.</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 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.<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 May 2, 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>

Senior Manager, AlpaSim and AlpaDreams Production

<div>What if you could create autonomous AI tools that redefine how security works at one of the most innovative companies in the world? The NVIDIA Office of the Chief Security Officer is looking for an AI and Automation Engineer to help us create something new &mdash; an AI-native, agent-enabled security organization built from the ground up. As part of the Assurance Engineering team, you&rsquo;ll partner domain experts who will help you understand the problem space while you bring the engineering skills to solve it. You&rsquo;ll also collaborate across the broader CSO organization to design and build the agent infrastructure, data pipelines, and MCP integrations that make it all real. If you love building intelligent systems and want to see them make a real impact, this is the role for you.
What you'll be doing:<ul><li>
Allocate dedicated capacity to agent builds &mdash; contributing directly to the development of AI agents that support our security programs, including certifications, risk, and compliance.</li><li>
Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns.</li><li>
Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity.</li><li>
Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way.</li><li>
Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers.</li><li>
Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces.</li><li>
Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads.</li><li>
Mentor other engineers on data engineering, MCP patterns, and agent-native design principles.</li></ul>
What we need to see:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).</li><li>
8+ years of working experience in Automation Engineering and Data Engineering.</li><li>
Proficiency with Python, Go, C++, or other relevant languages.</li><li>
Experience working and building production workflows with AI, agents, and MCPs.</li><li>
Familiarity with Claude Code, Codex, Cursor, or similar tools.</li><li>
An ability to ramp quickly on the use and implementation of new AI tools and MCP patterns.</li><li>
Prior experience with AWS, Terraform, Airflow, and Databricks or equivalent large-scale data platforms.</li><li>
Strong ownership, self-sufficiency, and ability to lead in agile, fast-moving environments.</li><li>
Proven ability to deliver high-impact, large-scale projects with minimal direction.</li><li>
Excellent verbal and written communication skills.</li></ul>
Ways to stand out from the crowd:<ul><li>
Direct experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context.</li><li>
Familiarity with NVIDIA's AI stack and a genuine passion to build security programs on top of it.</li><li>
Previous background in Information Security or Cybersecurity.</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 168,000 USD - 270,250 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.<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 May 1, 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 Automation Engineer, Security

<div>The NVIDIA DGX Cloud organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves in an ambiguous / fast-moving environment. The support you provide will help our users have a better experience and help shape our platform. 
We expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments. 
What will you be doing:<ul><li>
Partner with multiple internal teams to provide Tier 1 support for complex cloud platforms</li><li>
Define and improve operational workflows (runbooks, escalation paths, support processes)</li><li>
Triage/investigate root cause of customer issues and escalate as needed</li><li>
File bugs and report issues while working closely with the Site Reliability team</li><li>
Build tooling to improve customer support process and visibility</li><li>
Deeply understand user workloads and use cases</li><li>
Partner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success</li><li>
Be part of an on call rotation to support production systems</li></ul> 
What we need to see:<ul><li>
BS/MS degree in Computer science or related areas (or equivalent experience)</li><li>
2+ yrs of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux</li><li>
Experience with Kubernetes, AWS, Azure, OCI, and GCP</li><li>
Background of Infrastructure, Networking, Storage, and DevOps scripting/tooling</li><li>
Understanding of data storage technologies (databases, file, block, blob)</li><li>
Customer Service/Support Experience</li><li>
Willingness to work up and down the stack as well as across multiple teams</li><li>
Strong skills in troubleshooting and Communication</li></ul> 
Ways to stand out from the crowd:<ul><li>
Experience with MLOps workflows or ML infrastructure</li><li>
Familiarity with GPU workloads or distributed training systems</li><li>
SLURM or HPC previous experience</li><li>
Strong drive to work with internal customers and make them successful</li><li>
A drive to improve process with strong organizational skills</li></ul> 
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 phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 76,000 USD - 126,500 USD for Level 2, and 108,000 USD - 172,500 USD for Level 3.<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 24, 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>

Software Platform Support Engineer - GPU Cloud

<div>It&rsquo;s an exciting time to join the NVIDIA Cloud Native Engineering (NVCNE) group&rsquo;s backend software team. As a Cloud Platform Software Engineer, you will work closely with architects, designers, frontend engineers, SREs, and other technical leaders to build a software platform that powers the lifecycle of AI supercomputing infrastructure on Kubernetes. Together, we will enable scalable and resilient AI services across the cloud.
You will design and implement software aligned with the architectural vision for the NVIDIA Cloud Platform, contributing to core features and capabilities. You will own your work end‑to‑end&mdash;from development to test, deployment, and production support. This role includes partnering with SRE and product teams to troubleshoot complex distributed systems and drive operational excellence. You are expected to follow and extend NVIDIA&rsquo;s Cloud Native development practices, with a strong focus on Kubernetes. This position offers the opportunity to shape world‑class AI infrastructure and make a tangible impact at global scale.
What you will be doing:<ul><li>
Develop software systems to support large scale deployments of cloud infrastructure</li><li>
Design, develop and distribute APIs to support Infrastructure as Code (IaC) automation and deployment workflows.</li><li>
Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services</li><li>
Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software</li><li>
Automate the validation of software solutions with unit and integration tests</li><li>
Innovate with other engineers on proposed designs and product direction</li><li>
Openly share successes and failures in a no blame environment</li></ul> 
What we need to see:<ul><li>
BS in Computer Science, Information Systems, Computer Engineering or equivalent experience.</li><li>
8+ years of professional experience.</li><li>
3&ndash;5 years of hands-on experience in large-scale software development using modern languages and frameworks.</li><li>
Strong proficiency in Golang for developing Kubernetes operators, controllers, and custom tools.</li><li>
Proven experience building, deploying, and scaling services on Kubernetes, including work with CRDs and auto-scaling infrastructure.</li><li>
Expertise with cloud-native infrastructure and managed Kubernetes services across AWS, GCP, Azure, and OCI.</li><li>
Demonstrated ability to collaborate with cross-functional teams to deliver performant, reliable cloud services at scale.</li><li>
Experienced in participating in incident response, performing root cause analysis, and implementing preventive measures to improve reliability.</li><li>
Excellent communication and troubleshooting skills across infrastructure, Kubernetes, and application runtime layers, with the ability to articulate design decisions and quality strategies clearly.</li></ul> 
Ways to stand out from the crowd:<ul><li>
Hands-on experience with Kubernetes Cluster API, Terraform, CSP APIs, and related infrastructure automation tooling.</li><li>
Proficiency with Kustomize or other Kubernetes packaging and deployment tools, with the ability to refactor software for containerized and orchestrated environments.</li><li>
Familiarity with CNI, CSI, and CRI interfaces and the broader CNCF ecosystem and its evolving tooling.</li><li>
Demonstrated background in open-source software, including active participation or upstream contributions to community projects.</li><li>
Strong understanding of modern infrastructure design and deployment patterns across cloud-native and hybrid environments.</li></ul>
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&rsquo;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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.<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 24, 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>

Senior Systems Software Engineer

<div>NVIDIA is looking for an experienced GPU and network systems Solutions Architect &amp; Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap.
What you will be doing:<ul><li>
Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.</li><li>
Demonstrate subject matter expertise in advanced GPU &amp; network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.</li><li>
Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams</li><li>
Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions</li><li>
Build custom product demonstrations and POCs for solutions that address critical business needs of our customers</li><li>
Analyze and debug compute/network configuration, performance issues to deliver performant clusters</li></ul>
What we need to see:<ul><li>
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.</li><li>
This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience</li><li>
System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers</li><li>
Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)</li><li>
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes</li><li>
Effective time management and capable of balancing multiple tasks</li><li>
Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc</li></ul>
Ways to stand out from the crowd:<ul><li>
External customer facing background</li><li>
Experience with bringup and deployment of large clusters</li><li>
Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers</li><li>
Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions</li><li>
Familiarity with virtualization technology concepts</li></ul>
We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.<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 24, 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>

Senior Solutions Architect, AI Infrastructure

<div>As a key member of the NVIDIA Infrastructure Specialists Solutions Architecture team, your role involves spearheading the conception, development, and execution of ground-breaking data center networks for NVIDIA customers under the Plan, Design, &amp; Implement (PDI) framework. You will play an important role in advancing comprehensive technology solutions for our strategic clientele in web2.0, cloud, HPC AI, and enterprise datacenter domains. Additionally, you will be tasked with identifying areas for improvement in business technology, providing valuable insights, and furnishing recommendations to both marketing and engineering teams to improve our overall product strategy.
What you'll be doing:<ul><li>
Providing Ethernet and routing expertise to customers during project delivery to design, architect, configure and test Ethernet networking solutions</li><li>
Work in multi-functional teams to provide Ethernet networking expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications</li><li>
Crafting and evaluating DevOps automation scripts for network operations, designing architectures, and developing switch fabric configurations.</li><li>
Implementing tasks related to network configuration and validation for data centers.</li><li>
Create Methods of Procedure and deployment documents</li><li>
Validate network architectures and configs in the lab</li><li>
Create network automation scripts and customize them to specific customers' needs utilizing AI tools</li><li>
Interact directly with customers to obtain required information to design and build optimal solutions</li><li>
Use software tools to validate and monitor network performance</li><li>
Create project documents to hand over to the customer upon project completion</li><li>
Travel onsite to the customers' data Centers to perform initial configuration work</li></ul>
What we need to see:<ul><li>
Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, or equivalent experience, with 10+ years of expertise in networking fundamentals including TCP/IP, Switching, Routing, and data center architecture.</li><li>
5+ years of hands-on experience designing and building network fabrics for scalable data center compute clusters, including CLOS and spine-leaf architectures.</li><li>
Expert-level proficiency in BGP, VxLAN, and EVPN for network design and troubleshooting (5+ years), with strong overall Ethernet/TCP/IP switching and routing experience (10+ years).</li><li>
Advanced network troubleshooting skills using packet sniffers and analysis tools (8+ years).</li><li>
Strong Linux administration background including kernel drivers, PCIe devices, system-level diagnostics, and computer hardware architecture (6+ years).</li><li>
Experience with High Performance Compute (HPC) network storage technologies and the ability to simulate and validate customer network topologies in lab environments.</li><li>
6+ years of direct customer-facing experience in network requirement gathering, analysis, project planning, and deployment, with 4+ years in consulting or technical support roles.</li><li>
Proficiency in network automation using Ansible, Salt, and Python scripting (3+ years).</li><li>
Excellent communication and presentation skills in English, with the ability to convey complex technical concepts to both internal and external stakeholders.</li><li>
Self-motivated team player capable of independently prioritizing tasks, with willingness to travel domestically and internationally up to 25% and work non-standard hours as needed.</li></ul>
Ways to stand out from the crowd:<ul><li>
Demonstrate strong social and collaboration skills as well as accountability for results.</li><li>
Experience with Kubernetes and Docker</li><li>
Familiarity with networking simulations tools, experience with NVIDIA Air, GNS3, EVE-NG</li><li>
Experience with network and server management tools like Grafana, Prometheus, Datadog, etc.</li><li>
Personal Git repository with examples of coding expertise in Python and experience with AI tools to boost work quality and meet project timelines</li></ul>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers! We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.<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 24, 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>

Senior Solutions Architect, Ethernet Networking - NVIS

Join NVIDIA and explore 11   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.