NVIDIA Logo

NVIDIA

Solutions Architect - Rack Scale AI Systems

Posted Yesterday
Be an Early Applicant
In-Office
Austin, TX, USA
208K-414K Annually
Expert/Leader
In-Office
Austin, TX, USA
208K-414K Annually
Expert/Leader
Design and deploy rack-scale AI infrastructure and cluster solutions for NVIDIA products. Collaborate with product teams and cross-functional engineering groups to onboard hardware/software stacks, optimize cluster deployments, and support multi-site datacenter and lab rollouts. Troubleshoot complex system failures, automate provisioning, and improve time-to-market for next-generation GPU/Tegra-based products.
The summary above was generated by AI

NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?

What you'll be doing:

  • Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.

  • Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.

  • Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.

  • Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.

  • Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.

  • Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products.

  • Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.

  • Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • 6+ years of Linux and Scripting experience.

  • Solid background on OS Kernels and system engineering.

  • A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment.

  • Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills.

  • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.

  • Understanding of dense datacenter design including compute, Storage and networking.

Ways to stand out from the crowd:

  • Understanding of software engineering principles and enterprise system architecture.

  • Experience with gpu and compute clusters administration & automation.

  • Experience in large scale QA environments, for product bring ups.

  • Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management 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 new universes to explore, enables outstanding 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. Widely considered to be one of the technology world’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 passionate about new technologies we want you on our team!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

22 Minutes Ago
In-Office
98K-130K Annually
Senior level
98K-130K Annually
Senior level
Cloud • Information Technology • Machine Learning
Manage end-to-end lease and Network Service Agreement accounting (ASC 842): identify embedded leases, assess modifications, support month-end close, prepare reconciliations and disclosures, partner cross-functionally, drive process improvements, and assist with technical accounting research and implementations.
Top Skills: Costar Real Estate ManagerExcelGoogle SheetsNetSuiteOracleSAP
22 Minutes Ago
In-Office or Remote
United States
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead technical strategy and implementation of V-BAT fleet data analysis pipelines and tooling. Transform raw flight, simulation, and production data into metrics, dashboards, and reports; perform fleet-wide studies, anomaly investigations, and root-cause analysis; partner with cross-functional teams and mentor engineers on analysis best practices.
Top Skills: Cloud StorageData CatalogingData LakeDatabasesJupyterMatlabPythonTelemetry SystemsTime-Series Databases
22 Minutes Ago
In-Office
170K-250K Annually
Senior level
170K-250K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, development, and operation of engineering laboratories. Own lab strategy, infrastructure, operations, HIL/SIL integration, asset lifecycle, team leadership, vendor management, and cross-functional collaboration to enable rapid hardware/software development and testing.
Top Skills: Asset Management SystemsData AcquisitionEnvironmental ControlsEthernetHardware-In-The-Loop (Hil)InstrumentationInventory SystemsManaged SwitchesPower DistributionRoutingSafety SystemsServer SystemsSoftware-In-The-Loop (Sil)Storage SystemsVlans

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account