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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. What we need to see: 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.

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

GPU System Performance Architect

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NVIDIA is known as a world leader in providing energy-efficient high-performance products, and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. Analyze peak current, Di/Dt, IR and EM requirements, and collaborate closely with ASIC designers, Power Integrity, Packaging experts and Product engineers to understand challenges and formulate solutions.

Senior Applied Power Architect - GPU

The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments. Do you want to help drive the development of CPU architectures to fuel the explosive growth in artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous vehicles?

Senior System Simulation Architect

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

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.

Solutions Architect, AI And ML

We are looking for a Systems Architect to lead and drive power solutions for NVIDIA products, ensuring reliable solutions for the short-term engineering designs and developing new power solutions for the long-term roadmap. Share technical learnings and progress in regular team meetings, conduct deep-dive sessions with vendors and partners, and stay current with industry trends and innovations.

NVIDIA

System Architect

This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.

Principal Software Architect, Networking AI

Apply your expertise to drive continuous improvement and innovation in image processing algorithms and architectures including SOTA deep learning methods to achieve unprecedented image quality and camera usability. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Senior Architect, Camera ISP

8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management - with 3-5+ years of direct, hands-on experience in the telecommunications industry with Tier-1 operators/service providers, or customers/partners in the telecom space. Deep technical expertise in the telecommunications service provider stack with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.

NVIDIA Corp

Senior Solutions Architect, Telco

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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

You will: Define End-to-End Test Strategy: Own and drive the overall test architecture and validation strategy for power features across multiple NVIDIA platforms-from pre-silicon simulation and emulation to post-silicon bring-up and production readiness. Boost Team Efficiency with AI: Demonstrate proven experience using AI-powered tools and copilots to accelerate test development, automate repetitive validation workflows, and streamline debug and root cause analysis.

Data Center Power Test 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 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.

Senior Hardware Security Architect, GPU

Based on the client's industry and specific use cases (e.g., social platforms, model marketplaces, video platforms, AI data services, enterprise AI productivity enhancement, etc.), provide solution consultant covering model selection, architecture design, prompt engineering, RAG implementation, agent development, and more-ensuring smooth execution of client initiatives. Leverage Alibaba Cloud's Bailian platform and its suite of large models-including Qwen, Wan, and related cloud services such as GPU instances, PAI, ECS, databases-to provide solution of the feasible AI and cloud solutions to customer requirements.

YEAR

Alibaba Group Holding Ltd

Alibaba Cloud Intelligence-GenAI Solution Architect-International AI Native (Sunnyvale)

We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. 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 Networking Architect

Hands on experience with NVIDIA rack-scale platforms such as GB200 or GB300 NVL72 into production, or have hands-on experience with NVIDIA operations technologies such as Spectrum-X, UFM, Base Command Manager, Mission Control, and the GPU or Network Operators. 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure.

Senior Solutions Architect, NVIDIA Cloud Partner Operations

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

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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. What you'll be doing: 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.

Senior Solutions Architect, Autonomous Driving - Genai

This role will own end-to-end system architecture across shared services and core infrastructure, with a focus on scalability, reliability, security, and developer efficiency. Strong written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

SQA Solution

Platform Architect

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SiFive's unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.

SiFive Inc

Linux Kernel Architect

Minimum Bachelors degree with relevant coursework and 12+ years of progressive experience in enterprise networking and network security engineering, with a demonstrable track record of leadership in large-scale environments. Deep expertise in Zero Trust architecture, advanced network segmentation, and Proven experience designing and securing massive, global hybrid-cloud infrastructures (AWS, Azure, or GCP paired with on-prem).

Architect Jobs in Palo Alto, CA

GPU System Performance Architect Nvidia

Senior Applied Power Architect - GPU Nvidia

Senior System Simulation Architect Nvidia

Senior Deep Learning Communication Architect Nvidia

Solutions Architect, AI And ML Nvidia

System Architect NVIDIA

Principal Software Architect, Networking AI NVIDIA

Senior Architect, Camera ISP NVIDIA

Senior Solutions Architect, Telco NVIDIA Corp

Senior Network Solution Architect - AI Fabrics NVIDIA Corp

Data Center Power Test Architect NVIDIA Corp

Senior Hardware Security Architect, GPU NVIDIA Corp

Alibaba Cloud Intelligence-GenAI Solution Architect-International AI Native (Sunnyvale) Alibaba Group Holding Ltd

Senior Networking Architect NVIDIA

Senior Solutions Architect, NVIDIA Cloud Partner Operations NVIDIA Corp

Senior Solutions Architect, Networking NVIDIA

Senior Solutions Architect, Autonomous Driving - Genai Nvidia

Platform Architect SQA Solution

Linux Kernel Architect SiFive Inc

Principal Enterprise Network Security Architect Palo Alto Networks Inc

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