Physical AI Solutions Architect

Responsibilities

• 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

• 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

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.

• Robotics Development Lifecycle
• AI Systems Architecture
• Deep Learning Models
• Enterprise IT Integration
• Technical Leadership

• Robotics Solutions Deployment
• AI/ML Model Training
• Algorithm Optimization
• Data Collection and Management
• Simulation and Digital Twins
• Fleet Management
• End-to-End Robotics Solutions
• Cloud Infrastructure Integration
• AI Frameworks
• Technical Evaluations

• Customer-Facing Communication
• Mentoring Technical Leaders

• Bachelor's Degree in Computer Science
• Master's Degree in Engineering
• PhD in Robotics or AI

• Physical AI Solutions
• Enterprise Environments
• Robotic Platforms
• Proof-of-Concepts
• Market Insights

• Intel CPUs
• Intel GPUs
• AI Accelerators
• Cloud Platforms