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Machine Learning Quantum Computing Jobs in Methuen, MA

Riverlane

Quantum Scientist - Applied QEC

Boston, MA · On-site

$135K - $170K/yr

Using your knowledge of quantum computing, you will help translate experimental goals into ... A learning environment that encourages individual, team and company growth and development ...

Riverlane

Quantum Scientist - Applied QEC

Boston, MA · On-site

$135K - $170K/yr

Using your knowledge of quantum computing, you will help translate experimental goals into ... A learning environment that encourages individual, team and company growth and development ...

Riverlane

Quantum Scientist - Applied QEC

Boston, MA · On-site

$135K - $170K/yr

Using your knowledge of quantum computing, you will help translate experimental goals into ... A learning environment that encourages individual, team and company growth and development ...

QuEra Computing, Inc.

Optical Scientist - R&D

Boston, MA · On-site

$130K - $211K/yr

Improve the performance, and operability of existing proof-of-concept quantum computing machines. * Collaborate with scientists and engineers across disciplines to develop and refine new experimental ...

QuEra Computing, Inc.

Optical Scientist - R&D

Boston, MA · On-site

$130K - $211K/yr

Improve the performance, and operability of existing proof-of-concept quantum computing machines. * Collaborate with scientists and engineers across disciplines to develop and refine new experimental ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Methuen, MA

Machine Learning Quantum Computing information

See Methuen, MA salary details

$26.7K

$44.5K

$92K

How much do machine learning quantum computing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning quantum computing in Methuen, MA is $44,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Methuen, MA?

For Machine Learning Quantum Computing jobs in Methuen, MA, the most frequently searched job titles are:

What cities near Methuen, MA are hiring for Machine Learning Quantum Computing jobs?

Cities near Methuen, MA with the most Machine Learning Quantum Computing job openings:

Machine Learning Quantum Computing jobs near you

Senior HPC and Quantum Systems Engineer

Nvidia Corporation

Westford, MA • On-site

$108K - $148K/yr

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

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 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, scientific applications, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, Slurm, and related toolchains.

HPC Systems & Operations
  • Be responsible for the reliability, performance, administrations, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, containerized applications, 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, systems architecture, 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, document, and evaluate end-to-end workflows that demonstrate the capabilities of the platform.
  • Support researchers with application solving and standard methodologies.

What we need to see:
  • 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 (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.
  • 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, scientific application support, and/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. Your work will help transform quantum computing from experimental hardware into a dependable, accelerated computing resource. It will operate alongside one of the most advanced GPU platforms in the world! This will materially impact the future of scientific computing. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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