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60 Nvidia Data Jobs Hiring Near You

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Grow revenue and market share for NVIDIA Data Center, Edge, and Cloud platforms through joint NVIDIA and Palantir solutions across the US Federal Government. * Serve as the key point of contact for ...

Senior Product Manager, STX

Santa Clara, CA

$148K - $196K/yr

NVIDIA data centers are powering the most sophisticated, groundbreaking research and AI products for the company. We are looking for a Senior Product Manager with exposure to accelerated computing ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
What are the most popular job types at Nvidia?
    Infographic showing various Data job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.
    Solutions Architect, Infrastructure

    Solutions Architect, Infrastructure

    Nvidia

    Santa Clara, CA

    Full-time

    Posted 5 days ago


    Job description

    Do you thrive on taking a strategic product from launch to gotomarket at scale across the world's largest customers? NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bringup of our nextgeneration Data Center GPUs and networking platforms.

    As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces - serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and largescale customer deployments. We are looking for Solution Architects to combine handson infrastructure expertise with multi-functional leadership to accelerate adoption of NVIDIA technologies across worldwide cloud hosting providers and large enterprise environments.

    What You'll Be Doing:

    • Lead endtoend execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.

    • Drive strategic partnership and alignment with Product teams to understand roadmap intent, codefine critical metrics, and ensure unified direction across technical, sales, and leadership organizations.

    • Influence without authority across Product, Engineering, Sales, Operations, and CSP customers, driving clarity, alignment, and unblock paths for scaleup.

    • Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational risks.

    • Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.

    • Deliver streamlined executivelevel communication on status, risks, progress, and required decisions.

    • Collaborate with Product and Engineering, enabling future improvements in platform design, validation, and operational workflows.

    What We Need to See:

    • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or similar, or equivalent experience.

    • 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.

    • Handson experience with bringup and validation of largescale NVIDIA GPU platforms, including multiGPU and multinode architectures.

    • Understanding of highperformance networking technologies (e.g., RDMA, congestion control, highbandwidth interconnects) and their role in distributed AI workloads.

    • Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.

    • Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, containerlevel tooling, and related utilities.

    • Understanding of server hardware architecture, including PCIe topologies, system firmware, NUMA, BIOS/UEFI configuration, power/thermal envelopes, and memory/subsystem behavior.

    • Understanding of BMC/IPMI/Redfish for remote management, hardware health monitoring, and outofband debugging during earlystage bringup.

    • Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and nodelevel performance analysis.

    • Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer.

    Ways to Stand Out from the Crowd:

    • Outstanding interpersonal skills and the ability to build clarity and direction across diverse, fast paced technical teams.

    • Knowledge of Compute and networking infrastructure (e.g., Instance types, networking primitives, highperformance communication paths etc) at Hyperscalers or Cloud Service Providers.

    • Demonstrated leadership resolving multiteam infrastructure challenges across engineering, product, and customer groups.

    • A consistent record of taking GPU or infrastructure products from pilot to highvolume deployment in large data center environments.

    • Familiarity with modern deep learning, LLM architectures, and distributed training/inference challenges at scale.

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until February 9, 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.

    Nvidia logo

    About Nvidia

    Sourced by ZipRecruiter

    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.

    Industry

    Computer and electronic product manufacturing

    Company size

    10,000+ Employees

    Headquarters location

    Santa Clara, CA, US

    Year founded

    1993