Robotics PhD Intern

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. 

• →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. 

• 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. 

• 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. Apply now to be part of a global technology leader shaping the future.

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