Python Phd Hpc Jobs in Massachusetts (NOW HIRING)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first-of-its-kind NVAQC (NVIDIA 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 10+ 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.
• 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.

• 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.

This position plays a central role in bridging quantum research and operational computing infrastructure. You will directly influence how quantum systems are coordinated, scaled, and made usable by researchers, crafting both internal capabilities and external partnerships and your work will help transform quantum computing from experimental hardware into a dependable, accelerated computing resource which will operate alongside one of the most advanced GPU platforms in the world materially impact the future of scientific computing!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.