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Quantum Machine Learning Jobs in Massachusetts (NOW HIRING)

NVIDIA

Senior HPC and Quantum Systems Engineer

Westford, MA · On-site

$108K - $148K/yr

We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a ... and machine learning. • Prototype and evaluate end-to-end workflows that demonstrate the ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules, developing ...

NorthEastern

Senior Research Scientist

Burlington, MA

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

NorthEastern

Sr Research Scientist

Burlington, MA

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

Northeastern University

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

NorthEastern

Research Scientist

Burlington, MA

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

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All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in Massachusetts

Quantum Machine Learning information

See Massachusetts salary details

$27.8K

$46.5K

$96.1K

How much do quantum machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quantum machine learning in Massachusetts is $46,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

What are popular job titles related to Quantum Machine Learning jobs in Massachusetts? For Quantum Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in Massachusetts look for? The top searched job categories for Quantum Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Quantum Machine Learning jobs? Cities in Massachusetts with the most Quantum Machine Learning job openings:
Quantum Machine Learning jobs near you
Senior HPC and Quantum Systems Engineer

Senior HPC and Quantum Systems Engineer

NVIDIA

Westford, MA • On-site

$108K - $148K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a first-of-its-kind Accelerated Quantum Computing Center. This role involves leading the technical ownership of a GPU supercomputing environment integrated with quantum systems.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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