Physical AI Solutions Architect

Jobtailor

Arizona

On-site

USD 180,000 - 260,000

Full time

6 days ago

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Job summary

Intel in the United States is seeking a senior Robotics/Physical AI architect to guide end-to-end deployments across industries, from data collection to fleet-scale operations. You will design systems integrating IT/OT/edge/cloud, mentor leaders, and influence roadmap decisions.

You will collaborate with OEMs, AI providers, and cloud partners, leading proofs-of-concept and technical evaluations while championing customer outcomes and design wins.

Qualifications

Bachelor's degree in CS/engineering or related field required.
12+ years with a Bachelor’s, 8+ with a Master’s, or 6+ with a PhD.
Experience deploying end-to-end robotics/Physical AI in enterprise settings.
Expertise in AI systems architecture and model optimization for CPUs/GPUs.
Strong data collection, simulation, digital twins, and fleet management knowledge.
Experience integrating AI/robotics workloads into IT/OT/edge/cloud infra.
Hands-on with modern AI frameworks and cloud platforms.
Strong customer-facing communication and leadership skills.

Responsibilities

Partner with providers to architect and deploy Physical AI solutions across industries.
Guide customers through data collection, simulation, deployment, and fleet-scale ops.
Design solutions integrating robotics workloads with IT/OT/edge/cloud infra.
Collaborate with OEMs, AI providers, integrators, and cloud providers.
Position Intel CPUs/GPUs/AI accelerators within customer architectures.
Lead proofs-of-concept, evaluations, benchmarking, and validation.
Represent customer needs to Intel product, engineering, and leadership.
Influence product roadmaps by identifying ecosystem gaps and trends.
Drive outcomes and design wins across units and partners.
Mentor technical leaders and contribute to Intel's AI roadmap.

Skills

Robotics Development Lifecycle

AI Systems Architecture

Deep Learning Models

Enterprise IT Integration

Technical Leadership

Education

Bachelor's Degree in Computer Science

Master's Degree in Engineering

PhD in Robotics or AI

Tools

Intel CPUs

Intel GPUs

AI Accelerators

Cloud Platforms

Job description

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

Requirements

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

Core Competencies

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.

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