NVIDIA Logo

NVIDIA

Infrastructure Solutions Architect - OEM Deployment

Posted 2 Days Ago
Be an Early Applicant
In-Office or Remote
3 Locations
124K-242K Annually
Junior
In-Office or Remote
3 Locations
124K-242K Annually
Junior
Leads onsite technical deployments of NVIDIA AI datacenter systems, integrating GPU, networking, and storage infrastructure. Troubleshoots complex hardware and deployment issues, supports cloud partners and enterprise customers, advises sales teams, and defines system architectures. Requires customer-facing technical leadership, datacenter expertise, networking knowledge, and deployment experience, with travel up to 50%.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’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’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’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.

We are now looking for an Infrastructure Solutions Architect! NVIDIA’s AI platforms have already made a major impact across leading academic institutions, start-ups, and the world’s largest enterprise companies. We need passionate, creative, and driven individuals to help us continue delivering groundbreaking enterprise solutions. This role is ideal for a specialist in system design and networking who can lead customers through the AI computing revolution. You will be leading technical deployments of NVIDIA AI systems, collaborate cross-functionally, support NCP (NVIDIA Cloud Partner) and Enterprise integration.

What you’ll be doing:

  • Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness.

  • Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.

  • Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators.

  • Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space.

  • Support technical engagement with NCPs (NVIDIA Cloud Partners) and Enterprise customers to accelerate the deployment and adoption of NVIDIA AI technologies in cloud environments, ensuring time-to-value and successful integration.

What we need to see:

  • Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.

  • 2+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in cloud partner architecture/solution validation, deployment, and scaling activities. This is a field facing role and requires up to 50% travel to customers, partners and datacenters.

  • Deep knowledge of datacenter hardware such as servers, storage systems, and network devices.

  • Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.

  • Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams.

Ways to stand out from the crowd:

  • Proven experience with large-scale datacenter rollouts and integration of solutions with NCP (NVIDIA Cloud Partner) and Enterprise platforms, including support for large-scale cloud deployment and the ability to scale production efficiently.

  • Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments.

  • Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments.

  • Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems.

  • Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout—especially in industrial, military, and ruggedized computing environments.

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 in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 23, 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.

Similar Jobs

58 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
62K-86K Annually
Junior
62K-86K Annually
Junior
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Supports B2B partner, Networks, and public sector events from planning through post-show follow-up. Responsibilities include maintaining checklists and trackers, managing booth assets and shipping, processing vendor paperwork and invoices, submitting marketing operations requests, preparing lead lists and event reports, coordinating attendee logistics, and providing onsite event support. The role also tracks sponsor commitments, exhibitor and speaker submissions, memberships, procurement forms, and compliance documentation.
Top Skills: AsanaEvent Registration PlatformsMarketoSalesforceSpreadsheets
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
217K-298K Annually
Senior level
217K-298K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Build and scale Motive’s strategic partner ecosystem by recruiting and onboarding partners, developing co-sell and referral frameworks, leading joint go-to-market initiatives, enabling partner and sales teams, managing strategic relationships, overseeing deal processes, and tracking partner performance, KPIs, deal registrations, and revenue attribution. Lead QBRs and collaborate cross-functionally with Sales, Legal, Marketing, Product, and Finance to drive indirect revenue.
Top Skills: CRMHardwareIotSaaSSalesforce
An Hour Ago
Remote
USA
120K-160K Annually
Mid level
120K-160K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Own the technical lifecycle and operational health of Runpod’s global high-density GPU fleet. Responsibilities include hardware validation and benchmarking, fleet monitoring, SLA and downtime auditing, network and systems troubleshooting, incident coordination, partner technical support, AI-assisted operational automation, and infrastructure tooling. The role requires Linux, Docker, NVIDIA GPU, datacenter networking, and performance-tuning expertise, with potential future on-call participation.
Top Skills: Ai AgentsBashDatadogDockerGoGrafanaInfinibandLinuxLlmsNvidia Software StackPrometheusPythonRdmaRoce

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account