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Quantum Hardware Engineer Jobs in Bothell, WA (NOW HIRING)

IonQ

Senior Director, Developer Ecosystem

Bothell, WA

$61 - $80.50/hr

As Senior Director of Developer Ecosystem, you will lead the strategy and execution of IonQ ... A network of relationships across the quantum hardware, software, and open-source ecosystem.

IonQ

Director of Product Management - Quantum Cloud

Bothell, WA · Hybrid

$260K - $272K/yr

... IonQ hardware. You'll be part of a cross-functional team whose mission is to lead IonQ on its ... This is the tool that enables everyone from a quantum-curios developer to an enterprise prospect to ...

IonQ

Director of Product Management - Quantum Cloud

Bothell, WA · On-site

$260K - $272K/yr

... IonQ hardware. You'll be part of a cross-functional team whose mission is to lead IonQ on its ... This is the tool that enables everyone from a quantum-curios developer to an enterprise prospect to ...

IonQ

Production Support Engineer

Bothell, WA · On-site

$99K - $130K/yr

... quantum computing hardware. You will be the first line of defense for any technical blockers ... Provide real-time engineering support to production technicians experiencing build, assembly, or ...

IonQ

Senior Optical Engineer

Bothell, WA · On-site +1

$114K - $150K/yr

Implement automated quantum tomography protocols to characterize the fidelity of networked quantum states. * Collaborate with the systems engineering team to integrate optical networking hardware ...

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All JobsQuantum Hardware Engineer JobsQuantum Hardware Engineer Jobs in Bothell, WA

Quantum Hardware Engineer information

See Bothell, WA salary details

$57K

$163.5K

$219.7K

How much do quantum hardware engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantum hardware engineer in Bothell, WA is $163,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,100.00 and $182,200.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as quantum hardware engineering, software engineering, and data science can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require advanced degrees, certifications, and expertise in cutting-edge technologies or tools.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, and certain hardware engineering roles can earn $500,000 or more annually, especially with experience, bonuses, and stock options. High-level positions often require advanced skills, certifications, and leadership responsibilities within large companies or tech firms.

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.

How much does a quantum hardware engineer make?

The average salary for a quantum hardware engineer ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in cryogenics, quantum circuits, or fabrication may earn higher salaries, often exceeding $180,000.

What does a quantum hardware engineer do?

A quantum hardware engineer designs, develops, and tests physical components of quantum computers, such as qubits, superconducting circuits, and cryogenic systems. They work with specialized tools and materials, often requiring knowledge of quantum physics, electrical engineering, and cryogenics, to improve the stability and performance of quantum devices.

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.
What are popular job titles related to Quantum Hardware Engineer jobs in Bothell, WA? For Quantum Hardware Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Quantum Hardware Engineer jobs in Bothell, WA look for? The top searched job categories for Quantum Hardware Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Quantum Hardware Engineer jobs? Cities near Bothell, WA with the most Quantum Hardware Engineer job openings:
Quantum Hardware Engineer jobs near you
Senior Software Engineer, Quantum Applied Research

Senior Software Engineer, Quantum Applied Research

Nvidia Corporation

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Posted 15 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

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 senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.
At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you!
What you'll be doing:
  • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.
  • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.
  • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.
  • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.
  • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.

What we need to see:
  • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience).
  • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.
  • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.
  • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).
  • Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Ways to stand out from the crowd:
  • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.
  • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.
  • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.
  • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.
  • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.

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 July 4, 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

Hours and flexibility

Workplace

Get the full story on Breakroom

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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