Senior Quantum HPC Engineer for QEC & GPU Acceleration

NVIDIA; Washington (District of Columbia); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a highly experienced engineer to advance quantum computing software through scalable QEC simulations and GPU-accelerated algorithms. You will work with NVIDIA Research, Developer Technology, and Product teams to translate research into robust, reusable software libraries.

Ideal candidates have deep QEC knowledge, strong C++/Python skills, and a track record of high-performance computing. A PhD or MS in a related field, 8+ years of experience, and collaboration across

Qualifications

• Excellent modern C++ and Python programming skills, including debugging and performance testing.
• Proven track record translating research algorithms into robust software primitives.
• Expert understanding of QEC and stabilizer formalism, including Pauli-frame propagation and stabilizer tableaux.
• Strong grasp of noise models, including Pauli and non-Pauli representations.
• Familiarity with Stim, Qiskit Aer, PennyLane, Cirq or cuQuantum SDK.
• Strong communication and cross-team collaboration.
• PhD or MS in a related field or equivalent experience.
• 8+ years of relevant research or software development experience.

Responsibilities

• Develop novel algorithms to accelerate QEC workload simulations at scale.
• Research and optimize GPU-accelerated algorithms across hardware generations.
• Collaborate with NVIDIA Research, Developer Technology, and Product teams.
• Engage with external partners to understand use cases and requirements.
• Provide technical leadership and mentorship to other specialists.

Skills

C++

Python

QEC knowledge

GPU programming

CUDA

Stabilizer formalism

Noise models

Communication

Education

PhD or MS in CS/Math/Physics/EE

Tools

Stim

Qiskit Aer

PennyLane

Cirq

cuQuantum SDK

CUDA-Q

Job description

NVIDIA is seeking a highly experienced engineer to advance quantum computing software through scalable QEC simulations and GPU-accelerated algorithms. You will work with NVIDIA Research, Developer Technology, and Product teams to translate research into robust, reusable software libraries.

Ideal candidates have deep QEC knowledge, strong C++/Python skills, and a track record of high-performance computing. A PhD or MS in a related field, 8+ years of experience, and collaboration across