Robotics PhD Intern

Intel•Hillsboro, OR

2d•$141,998 - $142,002•Hybrid

About The Position

As a Systems Engineering Graduate Intern, you will help develop and validate next-generation Robotics and Physical AI platforms by integrating hardware, software, and Intel compute technologies into complete system solutions. Working alongside multidisciplinary engineering teams, you will gain hands-on experience with robotics hardware, AI workloads, system integration, performance optimization, and technical troubleshooting. This role is suited to candidates interested in robotics, artificial intelligence, and system-level engineering who want to contribute to emerging technologies while developing practical industry experience. The role is based in Hillsboro, Oregon, with Phoenix, Arizona, listed as an additional location. It is eligible for Intel’s hybrid work model, which allows employees to split their time between on-site work at their assigned Intel site and off-site work. The posting lists an annual US salary range of $141,998–$142,002; standard internship rates are based on degree, location, and job role, and a recruiter can provide details for a preferred location and role. Intel describes its total compensation package as including competitive pay, stock bonuses, and benefit programs that include health, retirement, and vacation. Intel states that qualified applicants will receive consideration without regard to protected characteristics and that it does not charge fees during the hiring process.

Requirements

Currently pursuing a PhD in Computer Engineering, Electrical Engineering, or a related technical field.
Knowledge of computer architecture and computing systems, including CPUs, GPUs, and AI accelerators.
Experience through coursework, research, academic projects, or internships in AI/ML and robotics-related applications.
Familiarity with Linux operating systems and development environments.

Nice To Haves

Strong academic performance; a cumulative GPA of 3.0 or higher is preferred.
Experience with ROS/ROS 2 or other robotics software frameworks.
Hands-on experience debugging and troubleshooting hardware and software systems.
Understanding of AI model deployment and system performance evaluation.
Experience working with robotics hardware, sensors, cameras, and embedded systems.
Familiarity with AI inference, edge computing, and real-time applications.
Experience benchmarking and optimizing AI or robotics workloads.
Understanding of networking concepts and system integration.
Prior laboratory or research experience in Robotics, Autonomous Systems, or Physical AI.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Demonstrated ability to work effectively in cross-functional engineering teams.
Self-motivated, with a passion for learning emerging technologies.

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 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 recommendations for future product development.