Robotics PhD Intern (Physical AI)

Location: Hybrid role based at assigned hirify.global sites in Hillsboro, Oregon, or Phoenix, Arizona, United States; work is split between on-site and off-site.

Annual salary range: $141,998.00–$142,002.00 USD.

Company

hirify.global is a global technology company developing computing technologies and platforms.

What you will do

• Support the design, integration, and validation of robotics and Physical AI platforms.
• Work with sensors, cameras, compute platforms, networking equipment, and AI accelerators.
• Develop, test, and troubleshoot hardware and software solutions in a laboratory environment.
• Deploy and evaluate AI and machine learning workloads on edge and robotics platforms.
• Perform system-level debugging, root cause analysis, and performance analysis covering latency, throughput, power consumption, and overall system performance.
• Collaborate with hardware, software, silicon, and systems engineering teams; document findings and communicate technical recommendations.

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 have

• Strong academic performance with a cumulative GPA of 3.0 or higher.
• 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, system performance evaluation, AI inference, edge computing, and real-time applications.
• Experience with robotics hardware, sensors, cameras, embedded systems, benchmarking, and workload optimization.
• Understanding of networking concepts and system integration.
• Prior laboratory or research experience in Robotics, Autonomous Systems, or Physical AI.
• Strong analytical, problem-solving, written, and verbal communication skills, with the ability to work effectively in cross-functional engineering teams.
• Self-motivated approach and interest in emerging technologies.

Culture & Benefits

• Full-time student internship with a hybrid work model combining on-site and off-site work.
• Competitive compensation package including pay, stock bonuses, health benefits, retirement benefits, and vacation.
• Work with multidisciplinary engineering teams on next-generation robotics and Physical AI technologies.
• Shift 1 working arrangement in the United States.