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Quantum Hardware Engineer Jobs (NOW HIRING)

Senior Hardware Engineer

Boulder, CO ยท On-site

$140K - $160K/yr

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that ... Atom Computing is seeking a Senior Hardware Engineer to join our team to assist in the design ...

Senior Hardware Engineer

Boulder, CO ยท On-site

$140K - $160K/yr

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that ... Atom Computing is seeking a Senior Hardware Engineer to join our team to assist in the design ...

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that ... Atom Computing is seeking a Senior Hardware Engineer to join our team to assist in the design ...

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Quantum Hardware Engineer information

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$51K

$146.2K

$196.5K

How much do quantum hardware engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for quantum hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantum Hardware Engineer vs Quantum Software Engineer?

AspectQuantum Hardware EngineerQuantum Software Engineer
Required CredentialsBachelor's/Master's in Physics, Electrical Engineering, or related fields; experience with hardware design and fabricationBachelor's/Master's in Computer Science, Software Engineering, or related; programming skills in Python, C++, or similar
Work EnvironmentLaboratories, hardware prototyping facilities, clean roomsSoftware development environments, cloud platforms, simulation tools
Employer & Industry UsageQuantum tech companies, research labs, hardware manufacturersTech firms, research institutions, software companies working on quantum algorithms

Quantum Hardware Engineers focus on designing, building, and testing physical quantum devices, while Quantum Software Engineers develop algorithms and software to run on quantum hardware. Both roles are essential in advancing quantum technology but differ in their focus and skill sets.

What are some common challenges faced by Quantum Hardware Engineers when scaling up quantum systems?

Quantum Hardware Engineers often encounter significant challenges when scaling quantum systems, such as maintaining qubit coherence and minimizing error rates as the number of qubits increases. Integrating control electronics and cryogenic systems while ensuring signal fidelity is another complex aspect of the role. Collaboration with physicists, materials scientists, and software engineers is essential to troubleshoot hardware limitations and develop scalable architectures. Overcoming these challenges requires creative problem-solving and a multidisciplinary approach, making the role both demanding and highly rewarding.

What are Quantum Hardware Engineers?

Quantum Hardware Engineers are professionals who design, develop, and maintain the physical systems that enable quantum computing. They work on building and optimizing quantum processors, cryogenic systems, control electronics, and other hardware components necessary for quantum computers. Their role is essential for advancing the practical implementation of quantum technologies, collaborating closely with physicists, software engineers, and researchers to push the boundaries of computational power. These engineers often have backgrounds in physics, electrical engineering, or materials science, and are skilled in both theoretical and hands-on laboratory work.

What are the key skills and qualifications needed to thrive as a Quantum Hardware Engineer, and why are they important?

To thrive as a Quantum Hardware Engineer, you need a deep understanding of quantum physics, electrical engineering, and materials science, often supported by an advanced degree (such as a PhD) in a related field. Familiarity with technical tools like cryogenic systems, microwave electronics, and quantum measurement instruments, as well as programming languages such as Python, is typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills distinguish top candidates in this role. These competencies are critical for designing, building, and optimizing complex quantum devices that advance the field of quantum computing.
More about Quantum Hardware Engineer jobs
What cities are hiring for Quantum Hardware Engineer jobs? Cities with the most Quantum Hardware Engineer job openings:
What states have the most Quantum Hardware Engineer jobs? States with the most job openings for Quantum Hardware Engineer jobs include:
Senior HPC and Quantum Systems Engineer

Senior HPC and Quantum Systems Engineer

Nvidia Corporation

Westford, MA โ€ข On-site

$108K - $148K/yr

Full-time

Posted 2 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 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.

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, 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.

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 January 13, 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