> Markdown version of [/jobs/ext/2756474-physical-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/2756474-physical-ai-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Physical AI Solutions Architect

- **Company:** Intel Corporation
- **Location:** Santa Clara, CA, United States
- **Salary:** $255,850.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Cloud Computing, Microprocessors, Machine Learning, Cloud Services, Software Deployment, Solution Deployment Descriptor, Reinforcement Learning, Digital Twin, Graphics Processing Unit (GPU), Cloud Platform System, Deep Learning, Information Technology
- **Published:** September 6, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3380050215&tx=FJ8582FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Minimum Qualifications * 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. * Demonstrated 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 the complete robotics development workflow, including: Data collection and management, Simulation and digital twins, AI/ML model training and optimization, Deployment on robotic platforms, 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.

Preferred Qualifications * Experience with humanoid, industrial, warehouse, mobile, or service robotics. * Familiarity with ROS/ROS2, Isaac Sim, Gazebo, MuJoCo, Webots, or other robotics simulation platforms. * Experience with vision-language-action (VLA) models, reinforcement learning, imitation learning, and sim-to-real workflows. * Understanding of enterprise automation, manufacturing, logistics, and supply chain operations. * Experience partnering with hyperscalers, systems integrators, and large enterprise customers. * Proven ability to influence product strategy and executive-level decision making. * Established industry relationships across the robotics, cloud, or AI ecosystem. * Effective communication and problem-solving skills with a commitment to delivering results.

## Description

The Role and Impact Intel is seeking an experienced Physical AI Solutions Architect to help accelerate adoption of Intel technologies across the rapidly growing robotics and Physical AI ecosystem. This role requires deep expertise in autonomous robot development and deployment, spanning the full workflow from data collection, simulation, model training, and optimization through deployment on robotic hardware. As a trusted technical advisor, you will work directly with cloud service providers, systems integrators, and enterprise customers to design and deploy end-to-end Physical AI solutions powered by Intel technologies. You will help customers integrate robotics and AI workloads into enterprise IT, OT, and cloud environments while providing strategic feedback that influences Intel's product roadmap and go-to-market strategy. This is a highly visible role requiring strong technical depth, customer engagement skills, and the ability to drive alignment across organizational boundaries Key
Responsibilities * Partner with cloud service providers, systems integrators, and software ecosystem partners to help enterprise customers architect and deploy Physical AI solutions across multiple industry verticals, including manufacturing, logistics, warehousing, retail, healthcare, and other emerging robotics applications. * Guide customers through the complete robotics development lifecycle including data collection, simulation, model development, optimization, deployment, and fleet-scale operations. * Help enterprise customers 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 to accelerate solution deployment and adoption. * Position Intel CPUs, GPUs, AI accelerators, software, and platform technologies within customer architectures. * Lead proof-of-concepts, technical evaluations, benchmarking, and solution validation activities. *
Represent customer requirements and market insights to Intel product, engineering, and executive leadership teams. * Influence product roadmaps and investments by identifying ecosystem gaps, emerging trends, and customer needs. * Work across business units and partner organizations to drive successful customer outcomes and design wins. * Collaborate with cross-functional teams to identify next-generation requirements and opportunities, influencing research and academic collaborations. * Contribute applied knowledge to Intel's AI roadmap by working with other system architects and industry stakeholders. * Mentor technical leaders, foster team collaboration, and act as a role model for Intel's values while driving technical excellence., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.


## Related Videos

- [Physical AI for the Next Wave of Industrial Digitalisation](https://www.wearedevelopers.com/videos/100039-physical-ai-for-the-next-wave-of-industrial-digitalisation)
- [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml)
- [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai)
- [How Robots Learn to be Robots](https://www.wearedevelopers.com/videos/1632-how-robots-learn-to-be-robots)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)