We are seeking a Senior Quantum/HPC Systems Engineer to join our cutting-edge team in Boston, responsible for architecting and operating an innovative NVAQC center. This role involves building and maintaining a hybrid quantum-HPC platform that integrates large-scale NVIDIA GPU clusters with various physical quantum processors. You will deploy and operate this complex system using tools like CUDA-Q, cuQuantum, NVQlink, and other middleware frameworks to ensure seamless integration between classical and quantum computing environments. Key responsibilities include managing the reliability and performance of Linux systems, QPU hardware, job schedulers, networking, and storage, while also collaborating with partners on technical specifications for new quantum systems. Additionally, you will work closely with researchers to optimize hybrid workloads and develop clear documentation for platform adoption. Ideal candidates have over 10 years of experience in HPC operations, a strong background in Linux administration, and familiarity with quantum computing hardware and software environments such as CUDA-Q and Qiskit. This position is pivotal in advancing the practical application of quantum computing by integrating it with classical systems at scale.
Skills
CUDA-Q
cuQuantum
NVQlink
Linux
Slurm
Python
C++
NVIDIA
HPC
Neutral atom
Trapped ion
Superconducting
Photonic
Qiskit
Cirq
PennyLane
Braket
APIs
Middleware
Orchestration frameworks
Networking
Storage
Data center environments
Quantum computing concepts
Automation
Workflow orchestration
Real-time control considerations
What you'll do
Build and deploy hybrid computing platform integrating NVIDIA GPUs with physical quantum processors.
Integrate quantum control systems with HPC infrastructure using APIs and orchestration frameworks.
Ensure reliability, performance, and lifecycle management of Quantum environment including Linux systems and job schedulers.
Collaborate with networking teams to meet power, cooling, and low-latency connectivity requirements for quantum hardware.
Serve as technical interface to quantum hardware partners for system bring-up and integration.
Develop hybrid execution workflows coordinating GPU computation, quantum execution, and data movement across systems.
What we're looking for
10+ years experience operating HPC or large-scale compute infrastructure.
Bachelor’s/Master’s degree in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience.
Strong background in Linux systems administration and job schedulers like Slurm.
Proven experience with data center environments including networking and storage.
Familiarity with quantum computing concepts and hardware architectures.
Proficiency in Python/C++ for automation, API integration, and workflow orchestration.
Direct experience integrating physical quantum hardware in a data center environment.
Market check
Salary context
This
$184,000–$287,500
range sits above
88%
of similar postings on FindRole.
Peer median band
$152,000–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$152,656–$225,425
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
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
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
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