Hybrid Quantum–HPC Platform Engineer

NVIDIA; United States; On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA in Boston seeks a Senior HPC and Quantum Systems Engineer to architect, deploy, and operate a first-of-its-kind quantum HPC center. You will lead day-to-day technical ownership of a GPU-backed platform integrating quantum modalities with classical infrastructure.

The role blends data center, HPC, and quantum systems expertise, offering hands-on work with quantum hardware, low-latency networks, and production-scale workflows, guiding engineering teams and partnering with hardware vendors.

Qualifications

• 10 years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor's or Master's in Physics, Electrical/Computer Engineering, CS, or equivalent.
• Strong Linux, Slurm, and HPC operations background with production readiness.
• Familiarity with quantum concepts and hardware architectures; experience with quantum software environments.

Responsibilities

• Build, deploy, and operate a hybrid computing platform with NVIDIA GPU clusters and quantum processors.
• Integrate quantum control systems with HPC using APIs, middleware, and orchestration tools.
• Lead reliability, performance, and lifecycle of the quantum environment, Linux, networking, and storage.
• Collaborate with hardware partners on system bring-up, interfaces, and co-design opportunities.
• Develop workflows for simulation, error correction, calibration, and ML across hybrid workloads.

Skills

Linux

Slurm

CUDA-Q

cuQuantum

NVQlink

Python

C

Qiskit

Cirq

PennyLane

Braket

quantum computing

HPC

data center infrastructure

networking

storage

quantum hardware

Education

Bachelor's degree

Master's degree

Tools

CUDA-Q

cuQuantum

Qiskit

Cirq

PennyLane

Braket

NVQlink

Job description

NVIDIA in Boston seeks a Senior HPC and Quantum Systems Engineer to architect, deploy, and operate a first-of-its-kind quantum HPC center. You will lead day-to-day technical ownership of a GPU-backed platform integrating quantum modalities with classical infrastructure.

The role blends data center, HPC, and quantum systems expertise, offering hands-on work with quantum hardware, low-latency networks, and production-scale workflows, guiding engineering teams and partnering with hardware vendors.