HPC and Quantum Systems Engineer

Job Description

Job Title: Senior HPC and Quantum Systems Engineer. Location: Westford, Massachusetts, CT, Remote, NH, Remote, MA, Remote

Responsibilities:

• Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors, including neutral atom, trapped ion, and superconducting modalities.
• Integrate quantum control systems and HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, and NVQlink.
• Develop and optimize hybrid workflows coordinating GPU computation, quantum execution, and data movement across tightly coupled systems.
• Ensure the reliability, performance, and lifecycle management of the quantum environment, including Linux systems, QPU hardware, job schedulers, networking, and storage;
• Collaborate with networking and facilities teams to meet quantum hardware requirements for power, cooling, timing, and low-latency connectivity.
• Serve as a technical interface to quantum hardware partners for system bring-up, connectivity, control interfaces, and co-design opportunities.
• Partner with researchers and engineers to deploy, optimize, and benchmark hybrid workloads for quantum error correction, calibration, optimization, and machine learning;
• Prototype and evaluate end-to-end workflows demonstrating platform capabilities.
• Produce documentation, integration guides, and operational runbooks to enable adoption of the platform.
• Represent the organization at technical workshops, conferences, and industry forums.

Qualifications:

• 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor’s or Master’s degree in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD preferred).
• Strong experience in Linux systems administration, job schedulers (Slurm or equivalent), and production computing environments.
• Proven experience in data center operations including networking, storage, power, and environmental constraints;
• Familiarity with quantum computing hardware architectures, including neutral atom, trapped ion, superconducting, and photonic qubits.
• Experience with quantum software environments such as CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
• Solid understanding of GPU-accelerated computing and heterogeneous systems.
• Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration;
• Ability to work across system boundaries, including control systems, APIs, networking, and performance tools.
• Strong communication skills to collaborate with experimental scientists, systems engineers, and external partners.

Preferred:

• 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, or real-time control considerations.
• Experience working with NVIDIA tools and frameworks.
• Experience bridging experimental research teams and production infrastructure.

Benefits and Compensation:

• Competitive base salary: Level 5: $224,000–$356,500 USD; Level 6: $272,000–$431,250 USD, based on experience and location.
• Eligibility for equity and comprehensive benefits for you and your family.
• Opportunity to work with cutting-edge quantum and GPU-accelerated computing platforms.
• Access to internal resources, training, and conferences to advance technical expertise;
• Work in a diverse, supportive environment fostering innovation and collaboration.