Intel
US, Arizona, Phoenix
+ 3 other locations
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.
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. Join Intel and be part of a team that is shaping the future of Physical AI and Robotics. Apply today to make a meaningful impact on the industry's most ambitious and innovative solutions.
Experienced Hire
Shift 1 (United States of America)
US, Oregon, Hillsboro
US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara
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.
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
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: $255,850.00-361,200.00 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.
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.
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.