Robotics Intern

Intel Corporation

. Support the design, integration, and validation of robotics and Physical AI platforms .

Posted 11/4/2026full-timeUnited StatesEntry Level💰 $141,998 - $142,002 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in robotics and Physical AI platforms, with a strong foundation in AI/ML, hardware integration, and system performance evaluation. Proficient in collaborating with cross-functional teams to develop and troubleshoot innovative solutions in laboratory environments.

Highest-signal resume keywords

PhD In Computer EngineeringExperience With AI/ML And Robotics ApplicationsFamiliarity With ROS/ROS 2Hands-On Experience Debugging Hardware And Software SystemsUnderstanding Of AI Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Robotics HardwareAI AcceleratorsSystem-Level DebuggingPerformance EvaluationLatency MeasurementThroughput AnalysisPower Consumption MeasurementEmbedded SystemsAI InferenceEdge Computing

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten CommunicationVerbal CommunicationTeam Collaboration

Tools & Technologies

Linux Operating SystemsNetworking EquipmentSensorsCamerasCompute Platforms

Industry Keywords

RoboticsAutonomous SystemsPhysical AISystem IntegrationBenchmarkingOptimization

Tech Stack

Tools & technologies

Linux

About the role

Key responsibilities & impact

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 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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation