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Quantum Machine Learning Jobs in Boston, MA (NOW HIRING)

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

Research Scientist

Burlington, MA · On-site

... 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.

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All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in Boston, MA

Quantum Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do quantum machine learning jobs pay per year?

As of Jun 11, 2026, the average yearly pay for quantum machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 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 Boston, MA? For Quantum Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in Boston, MA look for? The top searched job categories for Quantum Machine Learning jobs in Boston, MA are:
Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,263 per year, or $22.2 per hour.
Senior HPC and Quantum Systems Engineer

Senior HPC and Quantum Systems Engineer

Nvidia Corporation

Westford, MA • On-site

$108K - $148K/yr

Full-time

Posted 3 days ago

Job description

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.
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.

What we need to see:
  • 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.

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.

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.
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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