Quantum Research Scientist Intern

Job Description

Job Title: Quantum Research Scientist Intern – Fall 2026. Location: Remote (United States, California)

Job Type: Internship (Full-Time, Research Internship)

Responsibilities:

• Develop agentic AI systems for quantum computing applications.
• Build prototype pipelines for quantum Electronic Design Automation (EDA) focused on superconducting qubits.
• Collect, organize, and curate datasets for digital twin development and quantum simulation workflows.
• Accelerate and deploy quantum calibration primitives for hardware optimization;
• Combine electromagnetic and quantum simulations to extract system parameters and construct accurate Hamiltonians.
• Contribute to high-performance tools for quantum design, measurement, and optimization workflows.

Qualifications:

• Currently pursuing a Master’s or PhD in Physics, Electrical Engineering, Computer Science, or a related field.
• Strong Python programming skills.
• Solid understanding of quantum computing fundamentals and at least one qubit modality;
• Familiarity with electromagnetic simulation tools such as Ansys HFSS, Palace, or similar.
• Strong communication, documentation, and teamwork skills.

Preferred:

• Hands-on experience with quantum hardware design, calibration, or operation (superconducting qubits, ion traps, neutral atoms, or similar systems).
• Experience building agentic AI or LLM-driven workflows for scientific automation.
• Familiarity with GPU-accelerated quantum simulation tools such as cuQuantum or CUDA-Q.
• Knowledge of classical machine learning methods;
• Publications in quantum computing or applied physics venues (PRX Quantum, Quantum, npj Quantum Information).

Benefits and Compensation:

• Internship hourly pay ranges from $20 to $71 depending on education level, experience, and location.
• Access to NVIDIA intern benefits program;
• Opportunity to work on cutting-edge quantum computing and AI research.
• Exposure to industry-leading quantum simulation and accelerated computing platforms such as cuQuantum and CUDA-Q.

Other Information:

• NVIDIA uses AI tools in its recruitment process.
• Equal opportunity employer committed to diversity and inclusion.
• Strong emphasis on innovation, research excellence, and collaborative engineering culture.