Senior Quantum HPC Engineer — GPU-Accelerated QEC Simulations

NVIDIA; Massachusetts; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Massachusetts is seeking a senior software researcher to accelerate quantum error correction simulations and scalable quantum workloads. You will design GPU-accelerated algorithms, implement robust primitives, and collaborate with NVIDIA Research, Developer Technology, and product teams.

The role requires advanced C++ and Python, strong QEC knowledge, and the ability to mentor colleagues while delivering high-performance, clearly documented software across multiple hardware generations.

Qualifications

• PhD or MS in CS/Math/Physics/EE or equivalent experience.
• 8+ years in research or software development.
• Strong C++ and Python programming capabilities.
• Proven ability to translate research into robust software primitives.

Responsibilities

• Developing innovative algorithms to accelerate simulation of QEC workloads at scale.
• Researching, developing and optimizing GPU-accelerated algorithms across multiple hardware generations
• Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
• Interacting with external partners and researchers to understand their use cases and requirements
• Providing technical leadership and mentorship to other specialists

Skills

C++

Python

QEC knowledge

Research leadership

Education

PhD or MS in CS/Math/Physics/EE

Tools

Stim

Qiskit Aer

PennyLane

Cirq

cuQuantum SDK

CUDA-Q

Job description

NVIDIA in Massachusetts is seeking a senior software researcher to accelerate quantum error correction simulations and scalable quantum workloads. You will design GPU-accelerated algorithms, implement robust primitives, and collaborate with NVIDIA Research, Developer Technology, and product teams.

The role requires advanced C++ and Python, strong QEC knowledge, and the ability to mentor colleagues while delivering high-performance, clearly documented software across multiple hardware generations.