597 matching jobs for “Senior Software and System Architect”

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Nvidia

Senior Solutions Architect, AI Factory Observability and Visualization - NVIS

US, CA, Remote +3 locations

has a complete, end-to-end understanding of the HPC/AI system, running and interpreting microbenchmarks and workloads to confirm system readiness, then establishing the …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer - CUDA and Unified Memory

US, CA, Santa Clara +1 location

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose …

Added Oct 27, 2026

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Danaher

Senior Architect — AI Enablement

Bengaluru, India

Regular

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cepheid, one of Danaher’s …

Added Oct 15, 2026

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Nvidia

Senior Solution Architect - OEM

China, Shenzhen

Are you passionate about shaping the future of data center CPU platforms? NVIDIA is looking for a Solutions Architect experienced in Arm-based server CPUs to join our dynamic team in Shenzhen or Beijing, China. Act as the …

Added Oct 27, 2026

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Comcast

Senior WiFi Architect

Philadelphia, Pennsylvania, United States

Full time
Regular

This job is pivotal in designing and leading the development of WiFi architectures for Comcast public WiFi Network. It integrates deep technical …

Added Oct 18, 2026

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Salesforce

Salesforce-Senior Technical Architect

Hyderabad, India +1 location

… where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're …

Added Oct 28, 2026

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Palo Alto Networks

Global Solutions Architect - AI and Automation

Remote - USA - TX

The Technical Services Center of Excellence (CoE) builds the platforms, tooling and AI capabilities our engineers use to deliver security outcomes for customers. As Global Solutions Architect …

Added Oct 29, 2026

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Nvidia

Senior Hardware Security Architect

US, CA, Santa Clara

We are now looking for a Senior Hardware Security Architect: NVIDIA is seeking an experienced hardware security architect interested in a …

Added Oct 27, 2026

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Booz Allen Hamilton

Cloud Security Architect, Senior

Chantilly, Virginia, United States +1 location

Pay posted by employer$86,800–$198,000

Cloud Security Architect, Senior The Opportunity: Everyone is trying to “harness the cloud,” but not everyone knows how to secure …

Added Oct 27, 2026

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Palo Alto Networks

Sr Principal / Architect Engineer Software - Backend, Alerting (Chronosphere)

San Francisco, California, United States +6 locations

… built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere …

Added Oct 27, 2026

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Thermo Fisher Scientific

Sr. Staff AI Architect

Bengaluru, India

… ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $25 billion and approximately 1,30,000 employees globally. We help our customers accelerate life sciences research, solve …

Added Oct 16, 2026

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Nvidia

Senior GPU Networking Architect

Switzerland, Zurich

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 …

Added Oct 27, 2026

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Nvidia

Senior Solutions Architect, Networking

US, CA, Santa Clara +1 location

We are looking for a motivated Solutions Architect or Engineer with experience in designing and building Ethernet Networking fabrics for AI Factories for the …

Added Oct 28, 2026

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Workday

Sr. Partner Solution Architect

IRL.Dublin.Dockline

In person
Full time

The Partner Solution Architect provides technical advisory and co-development services to Workday partners, assisting them in designing …

Added Oct 27, 2026

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General Motors

Staff Cloud and AI Solutions Architect

Warren, Michigan, United States +1 location

Hybrid
Full time
Regular

Pay posted by employer$189,300–$290,700

Posting summary Production Mapping is looking for a Staff Cloud and AI Solutions Engineer to build and scale future-ready mapping foundations that support the expansion of our …

Added Oct 12, 2026

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Nvidia

Senior RDMA Research Architect

Israel, Yokneam +1 location

… most sophisticated AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises …

Added Oct 27, 2026

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Nvidia

Senior Networking Architect, Space Systems

Israel, Tel Aviv

We are seeking a highly motivated Senior System Architect for High Speed Networking Systems in Space to join our team of experts and help build the …

Added Oct 27, 2026

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General Motors

Staff System Architect – CoSim Diagnostics, NVM, Network & Data/Release

Markham, Canada

Hybrid
Full time
Regular

Pay posted by employer$147,000–$196,600

Vacancy Status: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count) AI Disclosure: As part of the application process, Artificial …

Added Oct 12, 2026

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Nvidia

Senior Solutions Architect, Industrial Robotics

US, CA, Santa Clara +1 location

We are looking for a Senior Solutions Architect, Industrial Robotics to engage with customers, partners, and other NVIDIA software …

Added Oct 27, 2026

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Intel

Senior AI Systems Architect/Researcher

US, Oregon, Hillsboro +2 locations

Pay posted by employer$195,200–$275,580 USD per year

… — Networking Architecture The CEG Networking Architecture Group defines next-generation networking silicon and platform architecture for hyperscale data centers, cloud infrastructure, and AI workloads. The team focuses …

Added Oct 27, 2026

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Intel

Senior AI Systems Architect/Researcher

US, Oregon, Hillsboro +2 more

Pay posted by employer$195,200–$275,580 USD per year

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What We're Looking For · employer excerpt

To be successful in this role, you should demonstrate the following professional traits:
• Architectural vision — defines long-term strategy across AI systems, networking, memory, and software domains
• Influence without authority — drives alignment across multiple teams and disciplines
• Systems thinking — understands interactions across compute, memory, network, and software
• Decision-making under ambiguity — makes sound tradeoffs with incomplete data

5 more in the full description below.

About this opportunity

Original employer description

Job Details:

Job Description:

About Central Engineering Group — Networking Architecture

The CEG Networking Architecture Group defines next-generation networking silicon and platform architecture for hyperscale data centers, cloud infrastructure, and AI workloads. The team focuses on IPU/DPU platforms, advanced packet processing, programmable networking, and the data-movement technologies that enable modern distributed computing systems to scale efficiently.

Position Overview

This role is for a senior AI systems architect who can translate the communication, memory, and orchestration bottlenecks of large-scale AI into networking architecture, IP, and platform direction. The successful candidate will work across research, architecture, silicon, software, and product teams to shape the next generation of distributed AI infrastructure.

As a Senior AI Architect/Researcher, you will help define how AI systems communicate and move data at scale across xPUs, DPUs, IPUs, NICs, memory, and heterogeneous storage. In this pathfinding and research role, you will advance new architectural approaches and translate research insights into network architecture and software capabilities that can influence N+1 to N+3 product roadmap.

The ideal candidate thinks in systems rather than components, understands the memory wall and scale-out serving bottlenecks, and can reason across interconnect, memory hierarchy, software runtime, and compute to unlock the next order of magnitude in AI efficiency. You will help set technical direction and influence silicon and software roadmaps. The candidate is expected to maintain substantial knowledge of state-of-the-art principles and theories, contribute regularly to scientific literature and the research community-at-large, and may participate in the development of Intellectual Property.

Key Responsibilities

Turn Workload Analysis into New IP

• Analyze real AI serving and training workloads, identify communication and memory bottlenecks, and translate those findings into new IP, offload engines, platform features, and architecture requirements

• Drive hardware-software co-design across compute, DPU/IPU, NIC, SoC fabric, and AI serving runtimes, ensuring that networking and data-movement capabilities are reflected in modern inference and training frameworks such as vLLM, SGLang, and others

Architect AI-Scale Networking and Interconnect

• Define the architectural direction for how AI systems and infrastructure move data at scale across xPU-to-xPU, xPU-to-storage, and cross-node paths spanning IPU/DPU platforms, NICs, and heterogeneous storage

• Shape next-generation packet processing, RDMA-class transport, and programmable networking IP that forms the backbone of hyperscale AI inference and training

Attack the Memory Wall and System-Level Bottlenecks

• Investigate the fundamental data-movement bottlenecks in large-scale AI and Agentic inference and training, including KV-cache transfer, disaggregated prefill/decode, model and tensor parallelism, and communication collectives, and translate them into concrete architectural requirements

• Reason across the full memory hierarchy and interconnect to minimize copies, latency, and bandwidth overhead, balancing latency-sensitive control paths against bandwidth-intensive data-paths

Set Roadmap and Lead Across Teams

• Shape multi-generation compute, memory, and interconnect roadmaps across IPU/DPU product lines by defining scaling strategies, migration paths, and architecture requirements that connect research insights to product execution

• Align architecture across networking, SoC fabric, firmware/OS/drivers, and performance modeling teams

What We're Looking For

To be successful in this role, you should demonstrate the following professional traits:

• Architectural vision — defines long-term strategy across AI systems, networking, memory, and software domains

• Influence without authority — drives alignment across multiple teams and disciplines

• Systems thinking — understands interactions across compute, memory, network, and software

• Decision-making under ambiguity — makes sound tradeoffs with incomplete data

• Collaboration — builds strong cross-functional relationships

• Customer-oriented mindset — translates workload needs into architectural innovations

• Ownership and accountability — drives initiatives end-to-end

• Continuous learning — stays current with evolving AI systems, inference runtimes, interconnects, memory technologies, and cloud infrastructure trends

A strong candidate will have enough depth to reason from first principles, enough practical experience to understand implementation constraints, and enough leadership range to align research, architecture, software, and silicon teams around a coherent direction.

Qualifications:

Minimum Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field with 5+ years of relevant experience; or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field with 2+ years of relevant experience

The experience must include:

• Experience with modern AI training and/or inference systems, including model architecture internals, hardware algorithm code design, serving runtimes, and the memory and data-movement bottlenecks that govern large-scale performance

• Hands-on experience with modern inference and training serving stacks such as vLLM, SGLang, and others, with practical understanding of disaggregated prefill/decode, model parallelism, tensor parallelism, and the communication patterns they create

• Experience in computer architecture and system-level design, with a focus on networking, interconnect, or memory subsystems

• Proficiency in C/C++ and/or Python

Preferred Qualifications

• Experience with memory hierarchy and system bottleneck analysis, including caches, memory controllers, bandwidth/latency tradeoffs, and the memory wall as it applies to data-intensive workloads

• High-performance networking and data-movement technologies such as RDMA/RoCE, InfiniBand, or equivalent transport and interconnect

• Experience with IPU/DPU/SmartNIC or accelerator-centric SoCs, particularly in cloud and hyperscale environments

• Familiarity with PCIe, CXL, and memory semantics for high-performance IO

• Experience defining architecture from concept through silicon, platform software, or shipping product, including translating workload analysis into architecture requirements and new IP

• Track record of cross-team technical leadership and influencing architecture and roadmap at a senior level

Intel invests in our people and offers a complete and competitive package of benefits for employees and their families through every stage of life.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, California, Folsom, US, California, Santa Clara

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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