Robotics PhD Intern

Intel Corporation; Hillsboro (OR); Hybrid; USD 142,000 - 143,000; Full time

Benefits offered by this job

Competitive pay

Stock bonuses

Benefits package including health, RET

Hybrid work model

Job summary

Intel Corporation in Hillsboro, Oregon seeks a Systems Engineering Graduate Intern to help develop and validate next-generation robotics and Physical AI platforms by integrating hardware, software, and compute technologies.

You will work with multidisciplinary teams, gain hands-on experience with robotics hardware, AI workloads, system integration, and performance optimization, while contributing to cutting-edge technology and practical industry experience.

Qualifications

• Currently pursuing a PhD degree 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.

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 resolve performance or integration issues.
• Measure and analyze key system metrics including latency, throughput, power, and performance.
• Collaborate with hardware, software, silicon, and systems engineering teams to evaluate new technologies.
• Document findings, communicate technical results, and contribute to recommendations for future product development.

Skills

Robotics

AI/ML

Linux

Cross-functional teams

Education

PhD candidate in Computer/ Electrical Engineering

Tools

ROS/ROS 2

Job description

Job Details:

Job Description:

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 ideal for candidates passionate about robotics, artificial intelligence, and system-level engineering who want to contribute to cutting-edge technologies while developing practical industry experience.

What You Will Do

• 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.

Qualifications:

Minimum Qualifications

• Currently pursuing a PhD degree 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.

Preferred Qualifications

• Strong academic performance with a cumulative GPA of 3.0 or higher 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.

Join us to gain invaluable experience in systems engineering while contributing to groundbreaking innovations.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix

Posting Statement:

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.

Position of Trust

N/A

Benefits

• competitive pay
• stock bonuses
• benefit programs which include health, retirement, and vacation
• Annual Salary Range for jobs which could be performed in the US: $141,998.00-142,002.00 USD
• Work Model for this Role: 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.