Robotics & Physical AI Systems Intern

Intel Corporation; Phoenix (AZ); On-site; USD 34,000 - 55,000; Part time

Job summary

Intel Corporation is seeking a Systems Engineering Graduate Intern in Phoenix to help integrate hardware, software, and compute technologies into complete system solutions for robotics and Physical AI platforms.

You will gain hands-on experience with robotics hardware, AI workloads, system integration, performance optimization, and troubleshooting alongside multidisciplinary teams. This internship emphasizes hands-on lab work, simulation, and real-world testing in edge computing environments.

Qualifications

• This role requires pursuing a PhD in a technical field such as Computer/Electrical Engineering.
• Experience with AI/ML and robotics-related applications.
• Familiarity with Linux operating systems and development environments.
• Strong analytical and problem-solving skills.

Responsibilities

• Support the design, integration, and validation of robotics and Physical AI platforms.
• Work with robotics hardware including sensors, cameras, compute platforms, networking equipment, and AI accelerators.
• Develop, test, and troubleshoot hardware and software solutions in a laboratory environment.
• Assist in deploying and evaluating AI and machine learning workloads on edge and robotics platforms.
• Conduct system-level debugging and root cause analysis to identify and resolve performance or integration issues.
• Measure and analyze key system metrics including latency, throughput, power consumption, and overall performance.
• Collaborate with hardware, software, silicon, and systems engineering teams to evaluate new technologies and solutions.
• Document findings, communicate technical results, and contribute to recommendations for future product development.

Education

PhD in Computer Engineering

Tools

ROS/ROS 2

Job description

Intel Corporation is seeking a Systems Engineering Graduate Intern in Phoenix to help integrate hardware, software, and compute technologies into complete system solutions for robotics and Physical AI platforms.

You will gain hands-on experience with robotics hardware, AI workloads, system integration, performance optimization, and troubleshooting alongside multidisciplinary teams. This internship emphasizes hands-on lab work, simulation, and real-world testing in edge computing environments.