Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 6
CUDA @ 7
GPU
HPC @ 4
Linux @ 7
Machine Learning
Networking @ 4
Slurm @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate an Accelerated Quantum Computing Center in the Boston area. This role sits at the intersection of data center infrastructure, high-performance computing, and emerging quantum systems, and is focused on turning experimental quantum hardware into a reliable research platform. You will lead the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities.
This is a systems engineering position dedicated to exploring quantum computing integration with classical systems. The role is suited to someone who has built and operated production HPC environments, understands low-level systems and networking, and is interested in working hands-on with quantum hardware as it transitions from lab prototypes to operational infrastructure.
Responsibilities
Hybrid Quantum–HPC Platform Engineering
- Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors, including neutral atom, trapped ion, superconducting, and future modalities.
- Integrate quantum control systems and access nodes with HPC infrastructure using APIs, scientific applications, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, Slurm, and related toolchains.
HPC Systems and Operations
- Own the reliability, performance, administration, and lifecycle management of the quantum environment, including Linux systems, QPU hardware, job schedulers such as Slurm, networking, containerized applications, and storage.
- Work with networking and facilities teams to ensure that power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.
Vendor and Partner Collaboration
- Serve as a technical interface to quantum hardware partners, collaborating on system bring-up, connectivity, control interfaces, and co-design opportunities.
- Help define hosting, systems architecture, and integration requirements for new quantum systems entering the facility.
Application Enablement and Performance
- Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.
- Prototype, document, and evaluate end-to-end workflows demonstrating the capabilities of the platform.
- Support researchers with application solving and standard methodologies.
Requirements
- 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
- Bachelor’s or master’s degree, or equivalent experience, in Physics, Electrical or Computer Engineering, or Computer Science. A PhD is a plus.
- Strong background in Linux systems administration, job schedulers such as Slurm or equivalent, and computing environments committed to reliable operation.
- Proven experience working in data center environments, including networking, storage, power, and operational constraints.
- Familiarity with quantum computing concepts and hardware architectures, including neutral atom, trapped ion, superconducting, and photonic systems.
- Experience with or strong interest in quantum software environments such as CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar tools.
- Comfort working across system boundaries, including control systems, APIs, networking, and performance tooling.
Preferred Qualifications
- Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment.
- Deep knowledge of quantum–classical orchestration, low-latency data paths, scientific application support, and/or real-time control considerations.
- Experience with NVIDIA tools and frameworks.
- Experience bridging experimental research teams and production infrastructure.
Benefits
NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. Applications will be accepted at least until August 17, 2026. NVIDIA is an equal opportunity employer.