As a Quantum Research Scientist Intern at NVIDIA, you will join a cutting-edge team focused on advancing quantum computing through the development of high-performance error correcting code discovery pipelines. Your daily tasks will include creating automated protocols and integrating classical machine learning methods to identify novel quantum error correcting codes that optimize performance across various metrics while considering hardware constraints. You will also analyze fault-tolerant circuits using advanced simulation tools, contributing to the broader goal of building accelerated platforms for quantum research. Ideal candidates are pursuing a Master’s or PhD in Physics, Electrical/Computer Engineering, Computer Science, or related fields with proficiency in Python and experience with superconducting qubits and circuit QED. Familiarity with electromagnetic simulation tools like Ansys HFSS and GPU-accelerated simulations using cuQuantum is preferred, along with hands-on experience in tensor network methods and classical machine learning techniques.
Pursuing a Master's or PhD in Physics, Electrical/Computer Engineering, Computer Science, or related field.
Proficiency in Python and deep knowledge of quantum computing fundamentals, especially superconducting qubits.
Experience with tensor network methods and GPU-accelerated simulation tools like cuQuantum/CUDA-Q.
Familiarity with classical machine learning methods for scientific automation workflows.
Hands-on experience building AI-driven pipelines for high-performance quantum error correction code discovery.
Publications in quantum computing or applied physics venues such as PRX Quantum, Quantum, npj Quantum Information.
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Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$117,000–$225,000.
Peer median band
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Based on 240 comparable postings.*
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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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Remote (Us, Ma, Westford, US)140 days ago
$224,000–$356,500
Linux
Slurm
CUDA-Q
cuQuantum
NVQlink
Python
C++
NVIDIA
HPC
GPU
Neutral atom
Trapped ion
Superconducting
Photonic
Qiskit
Cirq
PennyLane
Braket
Networking
Storage
Data center infrastructure
Quantum computing