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Work alongside system architects, designers, marketing teams, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, sales, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market. Drive initiatives for system-level power optimizations spanning across silicon, platform, software, manufacturing, and product systems; for products ranging from large-scale datacenters to low-power client devices.

Visualize your future . . . We Do 
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

NVIDIA

Principal Power and Performance Architect

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In this role, you will work closely with software, architecture, RTL, physical design, and validation teams to identify power-saving opportunities, guide key design trade-offs, and ensure our CPUs achieve aggressive performance-per-watt goals. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, efficient data processing, and scalable cloud deployments.

Senior CPU Power Architect

Partner with data engineering and architecture teams to implement solutions using Microsoft Azure and Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory Pipelines, Dataflows Gen2, Spark notebooks, SQL, semantic models, and Power BI. The successful candidate will understand how contract manufacturing processes translate into system transactions and data, then work with business stakeholders, technology teams, and external manufacturing partners to deliver scalable integrations and trusted operational insights.

Nextpower

Business Systems Architect / Integration Lead

Develop a deep understanding of robotics workload scaling and translate customer requirements into optimized cloud-native architectures, improving scheduling, cost, storage access, networking, and GPU utilization across hybrid infrastructure. Expertise in networking (DNS, LB, TCP/IP, firewalls), storage technology, workflow orchestration softwares (Airflow, Argo, etc), modern DevOps practices (GitOps, IaC, Observability), and orchestrating efficient GPU workloads.

Senior Solutions Architect, Physical AI Cloud

As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA’s most strategic customers with both hardware and software solutions while offering technical insight and support to business and engineering teams based on product strategy. We are looking for an experienced networking Solutions Architect to support accelerated computing networking solutions for AI/ML and HPC on hyperscalers!

Solutions Architect, Networking

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NVIDIA is looking for a Product Architect to help define & design SoC- and GPU-based products and drive hardware/software feature improvements through collaboration with the ASIC/System/SW teams. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams.

Senior Product Architect

The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The expected base salary ranges for this position are:224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.

Senior Software Architect, AI Systems and Networking

Hardware and software co-craft: Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand, SPC-X) and communication libraries (e.g., MPI, NCCL, UCX, UCC, NVSHMEM). Proficiency in developing code for one or more deep neural network (DNN) training and Inference frameworks, such as PyTorch, TensorRT-LLM, vLLM, SGLang.

Senior Deep Learning Communication Architect

This is an outstanding chance to create scalable solutions that connect two fast-paced domains: the high-reliability, low-latency needs of Automotive and the massive efficiency, high-density demands of Data Center systems. As a core member of the architecture team, your daily work will involve: Developing and maintaining high-fidelity, cycle-accurate performance models (C++/SystemC) for coherent interconnects and large-scale shared caches.

Senior Performance Modeling Architect, CPU Fabric and LLC

Our success has been based on vertical focus industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs. We are looking for a Senior Solutions Architect, Industrial Robotics to engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments.

Senior Solutions Architect, Industrial Robotics

We are now looking for a GPU System Performance Architect: The NVIDIA Architecture group is looking for extraordinary computer architects with a real passion for GPU-accelerated deep learning, data analytics and high performance computing to help design and develop the next generation of GPU-accelerated computing systems. You have a Masters or PhD in a relevant discipline such as Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience) with 10 years of relevant work or research experience.

GPU System Performance Architect

Persons in this role will develop tools and tests to analyze and verify our design, as well as help reduce risk, threats, and vulnerabilities with a focus on hardware and firmware layers; including considerations for safely scaling up GPUs in data center environments. The expected base salary ranges for this position are: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 .

Senior Hardware Security Architect, GPU

Systemic Co-Design: Collaborate with Silicon, Signal/Power Integrity (SI/PI), and Thermal/Mechanical teams to define robust board stack-ups, low-loss material selection, and multi-phase power zones handling massive transient loads from modern graphics processors. Own High-Speed Topologies: Design and optimize complex PCB topologies utilizing PCIe Gen 5/Gen 6 (CEM specifications) and proprietary/consortium scale-up interconnect fabrics designed for parallel compute and graphics scaling (e.g., NVLink, Infinity Fabric, UA Link).

YEAR

Bolt Graphics

Lead Hardware System Architect

Ability and eagerness to dig into unfamiliar territories to take on problems relying on experience from previous work with data center infrastructure experience, from hardware up through technology stack. Our work encompasses MEP (Mechanical Electrical Plumbing), Ethernet and Infiniband networking, DevOps, HPC/AI workloads, Cluster Administration and Site Reliability Engineering.

Solutions Architect - OEM AI Factory Infrastructure

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML), Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA's most strategic technology customers as well as work directly with business and engineering teams on product strategy.

Nvidia

Solutions Architect, AI And ML

NVIDIA is looking for an experienced Network Solutions Architect Engineer to help bring our next-generation AI networking platforms into production at customer data centers. Build targeted POCs that showcase the value of NVIDIA’s networking stack (e.g., Spectrum-X fabrics, BlueField DPUs) in real customer environments.

Senior Network Solution Architect – AI Fabrics

The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production.

Principal Architect, AI Networking

Ways to stand out from the crowd: Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings. Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.

Senior Solutions Architect, Nvidia Cloud Partners

A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. We are looking for a motivated Solutions Architect or Engineer with experience in designing and building Ethernet Networking fabrics for AI Factories for the purpose of development and testing of Autonomous Vehicles and GenAI (e.g., LLMs) models.

Senior Solutions Architect, Networking

NVIDIA is building the world’s leading AI company, and we are looking for an expert AV and GenAI Solutions Architect to help assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and Physical AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact the world. Engage with customers to help them scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software in the loop testing, AI enhanced manipulation and navigation workflows using NVIDIA's Physical AI platforms and CUDA-X libraries.

Architect Jobs in Menlo Park, CA

Principal Power and Performance Architect NVIDIA

Senior CPU Power Architect NVIDIA

Business Systems Architect / Integration Lead Nextpower

Senior Solutions Architect, Physical AI Cloud NVIDIA

Solutions Architect, Networking NVIDIA

Senior Product Architect NVIDIA

Senior Software Architect, AI Systems and Networking NVIDIA

Senior Deep Learning Communication Architect NVIDIA

Senior Performance Modeling Architect, CPU Fabric and LLC NVIDIA

Senior Solutions Architect, Industrial Robotics NVIDIA

GPU System Performance Architect NVIDIA

Senior Hardware Security Architect, GPU NVIDIA

Lead Hardware System Architect Bolt Graphics

Solutions Architect - OEM AI Factory Infrastructure NVIDIA

Solutions Architect, AI And ML Nvidia

Senior Network Solution Architect – AI Fabrics NVIDIA

Principal Architect, AI Networking NVIDIA

Senior Solutions Architect, Nvidia Cloud Partners Nvidia

Senior Solutions Architect, Networking NVIDIA

Senior Solutions Architect, Autonomous Driving - GenAI NVIDIA

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