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Quantum Computing Engineer Freelance information

Are quantum computing engineers paid well?

Quantum computing engineers typically earn high salaries due to the specialized skills required, such as knowledge of quantum algorithms, programming languages like Qiskit, and experience with quantum hardware. Salaries can vary based on experience, location, and industry, but they are generally above average compared to other engineering roles in technology fields.

What are the most commonly searched types of Quantum Computing Engineer jobs in California?

The most popular types of Quantum Computing Engineer jobs in California are:

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For Quantum Computing Engineer Freelance jobs in California, the most frequently searched job titles are:

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What cities in California are hiring for Quantum Computing Engineer Freelance jobs?

Cities in California with the most Quantum Computing Engineer Freelance job openings:

Quantum Computing Engineer Freelance jobs near you
Infographic showing various Quantum Computing Engineer Freelance job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Quantum Computing Libraries Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the‑art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high‑performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!

What you'll be doing:
  • Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations
  • Develop innovative HPC algorithms to scale quantum circuit simulations
  • Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
  • Interacting with external partners and researchers to understand their use cases and requirements
  • Providing technical leadership and guidance to other engineers
  • Analyzing the performance of GPU, CPU, multi‑GPU/multi‑node implementations, finding opportunities for algorithmic or implementation‑based improvements
What we need to see:
  • Excellent C++ and Python programming and software design skills, including functional and performance test design
  • Experience programming for GPUs, in a multi‑threading and multi‑node MPI programming model, and expertise in hardware‑aware optimization
  • Experience with agentic coding tools
  • Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid‑computing)
  • PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
  • 8+ years of experience
  • Strong collaboration, communication, and documentation skills
Ways to stand out from the crowd:
  • Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)
  • Proven experience with HPC technologies and communication algorithms
  • Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques
  • Experience working in an agile software development environment within a globally distributed organization

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us and, due to outstanding growth, our best‑in‑class engineering teams are rapidly growing.

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 Level4, and 224,000 USD-356,500 USD for Level5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April27,2026.

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.

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What Nvidia employees say

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Hours and flexibility

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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

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