About the role#
As a Robotics PhD Intern, you will help develop and validate next-generation robotics and Physical AI platforms. You will integrate hardware, software, and Intel compute technologies into complete system solutions. You will work alongside multidisciplinary engineering teams to gain hands-on experience with robotics hardware, AI workloads, system integration, and performance optimization.
What you'll 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.
- Document findings, communicate technical results, and contribute to recommendations for future product development.
What you'll need#
- 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.
- 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.
Location & details#
- Locations: Hillsboro, Oregon or Phoenix, Arizona.
- Work Modality: Hybrid.
- Employment Type: Full-time internship.
About Intel Corporation
Intel Corporation designs and manufactures semiconductors. The company focuses on artificial intelligence, autonomous driving, and non-volatile memory solutions. It operates as a public company with over 110,000 employees. The headquarters are in Santa Clara, California, with major office locations across the United States, Israel, France, Singapore, and Poland.
How to get in at Intel Corporation
Securing an internship at Intel Corporation requires speed, as early applicants are often reviewed before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and stay ahead of the crowd. This helps you avoid getting lost in the queue when thousands of others submit their materials. You can also improve your chances by reaching out to the people actually hiring for these positions. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. Connecting with a human at Intel Corporation materially improves your response rates compared to a standard cold application.
