Physical AI Solutions Architect

Intel Corporation

Physical AI Solutions Architect deploying Intel-powered robotics and AI solutions for enterprise customers. Guiding simulation, model optimization, infrastructure integration, and fleet-scale operations.

Posted 9/4/2026full-timeHillsboro • Arizona, California, Oregon • 🇺🇸 United StatesSeniorLead💰 $255,850 - $361,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying end-to-end robotics and Physical AI solutions, integrating AI workloads with enterprise IT, OT, edge, and cloud infrastructures. Possesses strong technical leadership and customer-facing communication skills to drive successful outcomes and influence product roadmaps.

Highest-signal resume keywords

Robotics Development LifecycleAI Systems ArchitectureDeep Learning ModelsEnterprise IT IntegrationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Robotics Solutions DeploymentAI/ML Model TrainingAlgorithm OptimizationData Collection and ManagementSimulation and Digital TwinsFleet ManagementEnd-to-End Robotics SolutionsCloud Infrastructure IntegrationAI FrameworksTechnical Evaluations

Soft Skills

Customer-Facing CommunicationMentoring Technical Leaders

Tools & Technologies

Intel CPUsIntel GPUsAI AcceleratorsCloud Platforms

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in EngineeringPhD in Robotics or AI

Industry Keywords

Physical AI SolutionsEnterprise EnvironmentsRobotic PlatformsProof-of-ConceptsMarket Insights

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Partner with cloud service providers, systems integrators, and software ecosystem partners to architect and deploy Physical AI solutions across multiple industries
Guide customers through the complete robotics development lifecycle, from data collection and simulation through deployment and fleet-scale operations
Design solutions integrating robotics workloads with enterprise IT, OT, edge, and cloud infrastructure
Collaborate with robot OEMs, AI model providers, systems integrators, and cloud providers
Position Intel CPUs, GPUs, AI accelerators, software, and platform technologies within customer architectures
Lead proof-of-concepts, technical evaluations, benchmarking, and solution validation
Represent customer requirements and market insights to Intel product, engineering, and executive leadership
Influence product roadmaps and investments by identifying ecosystem gaps, trends, and customer needs
Drive customer outcomes and design wins across business units and partner organizations
Mentor technical leaders and contribute to Intel's AI roadmap

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Robotics, AI, or related field
12 or more years of experience with a Bachelor's degree, 8 or more years with a Master's degree, or 6 or more years with a PhD
Experience deploying end-to-end robotics or Physical AI solutions in enterprise environments from development through production deployment
Expertise in AI systems architecture, deep learning models, and algorithm optimization for CPUs and GPUs
Strong understanding of data collection and management, simulation and digital twins, AI/ML model training and optimization, deployment on robotic platforms, and fleet management and operations
Experience integrating AI and robotics workloads into enterprise IT, OT, edge, and cloud infrastructures
Hands-on experience with modern AI frameworks and cloud platforms
Strong customer-facing communication and technical leadership skills
Must consent to and pass an extended Background Investigation

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation