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Quantum Computing Engineer Freelance Jobs in Seattle, WA

Our quantum computing services are available through all major cloud providers, while we also meet ... You will work directly with product, science, engineering, applications, sales and executive teams ...

Director of Product Management - Quantum Cloud

Bothell, WA · On-site

$260K - $272K/yr

IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting ... computing contexts. An advanced degree in Computer Science, a related engineering field, and/or an ...

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Quantum Computing Engineer Freelance information

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Senior Quantum Systems Engineer - Quantum Computing

Nvidia

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 22 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 244 rated software companies


Job description

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you'll join a rapidly growing Quantum Computing team and work with internal and external teams to define system requirements to enable fault-tolerant quantum computing.

Do you love engineering complex systems for controlling a quantum computer and working at the speed of light with collaborative people and teams all around the world? If yes, we would love to hear from you!

What you'll be doing:

  • Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computing

  • Develop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalities

  • Distill product requirements to technical requirements across hardware, software, and firmware

  • Develop test cases supporting technical requirements and review test implementations for correctness and completeness

  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

  • Bachelor's degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience. Higher degrees also welcome.

  • 5+ overall years of post-bachelor's experience including responsibility for engineering across multiple parts of a complex hardware and software system

  • Deep hands-on experience working with real qubits and quantum control systems software

  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Ways to stand out from the crowd:

  • Experience with design of quantum control systems and techniques, including communication and networking

  • Experience with development of real-time systems and embedded software

  • Knowledge of methods of benchmarking quantum computers

  • Adoption of AI and ML techniques

  • Experience with CUDA and NVIDIA GPUs

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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