ZipRecruiter

Log In

1

Quantum Hardware Engineer Jobs (NOW HIRING)

QuEra Computing, Inc.

QPU Software Engineer

Boston, MA · On-site

$130K - $170K/yr

Role Overview We are seeking a Software Engineer to join our QPU SW Engineering team ... In this role, you will develop the software that orchestrates and controls our quantum hardware ...

Quantum World Technologies Inc

Hardware Engineer

Richland, MI · On-site

$115K - $152K/yr

Job Title: Sr. Hardware Engineer Job Location: Richland, MI (Onsite- 5 days a week) Hire Type: Long-term Contract SKILL SET AND RESPONSIBILITIES Hardware engineers must be fluent in the following:

Apply Early

QuEra Computing, Inc.

QPU Software Engineer

Boston, MA · On-site

$130K - $170K/yr

Role Overview We are seeking a Software Engineer to join our QPU SW Engineering team ... In this role, you will develop the software that orchestrates and controls our quantum hardware ...

IonQ

Senior Director, Quantum Developer Tools

Bothell, WA · On-site

$61.75 - $81.50/hr

IonQ, Inc. is the world's leading quantum platform and merchant supplier, delivering integrated ... Work with Product Management, Engineering, and Science to ensure that as IonQ's hardware advances ...

next page

Showing results 1-20

All JobsQuantum Hardware Engineer Jobs

Quantum Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do quantum hardware engineer jobs pay per year?

As of Jun 30, 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:
What job categories do people searching Quantum Hardware Engineer jobs look for? The top searched job categories for Quantum Hardware Engineer jobs are:
Quantum Hardware Engineer jobs near you
Senior Quantum AI Research Scientist, Applied Research

Senior Quantum AI Research Scientist, Applied Research

Nvidia Corporation

Redmond, WA • On-site

$110K - $140K/yr

Full-time

Posted 11 days ago

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning.
Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing-spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers!
Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
  • Design and architect AI/ML models-including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents-for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
  • Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.
  • Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.
  • Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.
  • Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.
  • Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.

What we need to see:
  • Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
  • 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.
  • Deep expertise in machine learning and deep learning-including model architecture design, training at scale, and evaluation-applied to scientific or engineering problems.
  • Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
  • Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.

Ways to stand out from the crowd:
  • Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).
  • Experience with large-scale model training and fine-tuning-including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.
  • Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.
  • Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.

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 192,000 USD - 304,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 25, 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

View All Nvidia Jobs

Apply