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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior HPC and Quantum Systems Engineer - **Company:** NVIDIA Ltd. - **Location:** Westford, MA, United States - **Experience:** Expert - **Salary:** $224,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Computing Platforms, Systems Engineering, C++ (Programming Language), Computer Clusters, Nvidia CUDA, Computer Engineering, Data Centers, Extract Transform Load (ETL), Linux, Middleware, Job Scheduling, Python (Programming Language), Linux System Administration, Machine Learning, Quantum Computing, Systems Integration, Workflow Management Systems, High Performance Computing, Kubernetes, Information Technology, Low Latency, Slurm - **Published:** July 12, 2026 - **Apply:** https://www.juju.com/job/00000000gfrx8a ## About the Role + 12+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments. + Bachelor's degree or Master's degree with equivalent experience in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD a plus). + Strong background in Linux systems administration, job schedulers (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 (neutral atom, trapped ion, superconducting, photonic). + Experience with or strong interest in quantum software environments including 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. + Comfort working across system boundaries: control systems, APIs, networking, and performance tooling. + Strong communication skills and the ability to work effectively with experimental scientists, systems engineers, and external partners. Ways to Stand Out from the Crowd: + 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. ## Description We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a first-of-its-kind 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 will be essential to turning experimental quantum hardware into a reliable, high-impact research platform. You will lead all aspects of the day-to-day technical ownership of a tightly coupled GPU supercomputing environment coordinated with multiple quantum modalities. This is not a pure research role nor a traditional HPC admin role-it is a systems engineering position dedicated to exploring quantum computing integration with classical systems. This role is ideal for someone who has built and operated production HPC environments, understands low-level systems and networking, and is excited to work hands-on with quantum hardware as it transitions from lab prototypes to operational infrastructure. What you'll be doing: Hybrid Quantum-HPC Platform Engineering + Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion, superconducting, and future modalities). + Integrate quantum control systems and access nodes with HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, and related toolchains. + Develop and refine hybrid execution workflows that coordinate GPU computation, quantum execution, and data movement across tightly coupled systems. HPC Systems & Operations + Be responsible for the reliability, performance, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, and storage. + Work closely with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements. Vendor & 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, networking, and integration requirements for new quantum systems entering the facility. Application Enablement & 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 and evaluate end-to-end workflows that demonstrate the capabilities of the platform. Technical Leadership + Produce clear internal documentation, integration guides, and operational runbooks to enable broader adoption of the platform. + Represent the organization at technical workshops, conferences, and industry forums when appropriate. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Quantum DevOps - Quantum Application Development](https://www.wearedevelopers.com/videos/1441-quantum-devops-quantum-application-development) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python)