2

Work From Home Quantum Computing Research Jobs (NOW HIRING)

$122K - $161K/yr

... computing researchers and framework developers. This role will be part of an engineering team ... Ways to stand out from the crowd: * Proficiency in near-Clifford or stabilizer simulation ...

New

Quantum Science Lead

$175K - $275K/yr

Monitor progress across quantum computing hardware modalities and assess implications for customer ... Work with the Quantum Algorithm lead to assess how hardware advances may affect algorithm ...

Monitor progress across quantum computing hardware modalities and assess implications for customer ... Work with the Quantum Algorithm lead to assess how hardware advances may affect algorithm ...

Monitor progress across quantum computing hardware modalities and assess implications for customer ... Work with the Quantum Algorithm lead to assess how hardware advances may affect algorithm ...

Senior Software Platform Engineer

Palo Alto, CA · On-site +1

$144K - $189K/yr

Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ... quantum researchers to do their best work. That platform includes AWS infrastructure, Terraform ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum computing from a theoretical concept to a real-world technology. As an intern you will work with our ...

Senior Software Platform Engineer

Palo Alto, CA · On-site +1

$144K - $189K/yr

Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ... quantum researchers to do their best work. That platform includes AWS infrastructure, Terraform ...

... impact research at the intersection of quantum computing, cybersecurity, secure systems, and ... Candidates from physics or quantum science backgrounds are encouraged to apply when their work has ...

Our research and development efforts build on our fully integrated quantum processors that can be ... We approach quantum computing with a focus on minimizing errors, striving to achieve ultra-low gate ...

Showing results 21-40

Work From Home Quantum Computing Research information

See salary details

$11

$22

$37

How much do work from home quantum computing research jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for work from home quantum computing research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.
More about Work From Home Quantum Computing Research jobs

What cities are hiring for Work From Home Quantum Computing Research jobs?

Cities with the most Work From Home Quantum Computing Research job openings:

What states have the most Work From Home Quantum Computing Research jobs?

States with the most job openings for Work From Home Quantum Computing Research jobs include:

Infographic showing various Work From Home Quantum Computing Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Senior Engineer - Quantum Error Correction Libraries

On-site, Remote


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

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

Great coworkers

People enjoy working here

Good employer


$122K - $161K/yr

Full-time

Posted 3 days ago

New


Job description

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable quantum computing researchers and framework developers. 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 simulation software for quantum error correction (QEC) and will have strong affinity for advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about 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 will be doing:

  • Developing innovative algorithms to accelerate simulation of QEC workloads at scale.

  • Researching, developing and optimizing GPU-accelerated algorithms across multiple hardware generations

  • 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 mentorship to other specialists

What we need to see:

  • Excellent modern C++ and Python programming skills, including, debugging, functional testing, and performance testing.

  • Proven track record to convert mathematical or research-level algorithms into robust, reusable, and well-documented software primitives.

  • Expert understanding of QEC and stabilizer formalism, including binary symplectic representations, stabilizer and destabilizer tableaux, Pauli-frame propagation, mid-circuit measurement, and classical control.

  • Strong understanding of noise models, including Pauli, correlated, and time-dependent noise, as well as exact and approximate representations of non-Pauli noise.

  • Familiarity with the broader quantum software landscape, including Stim, Qiskit Aer, PennyLane, Cirq, cuQuantum SDK, CUDA-Q, or similar development frameworks.

  • Strong communication skills and experience collaborating across research, engineering, and product teams.

  • PhD or MS degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related scientific or engineering field, or equivalent experience.

  • 8+ years of relevant research or software-development experience.

Ways to stand out from the crowd:

  • Proficiency in near-Clifford or stabilizer simulation techniques.

  • Knowledge of QEC code varieties and procedures, such as surface codes, subsystem codes, color codes, quantum LDPC, lattice surgery, and logical-state preparation. Hands-on experience with QEC decoders.

  • Experience developing performance-critical GPU software using CUDA or a comparable environment.

  • Proficiency in horizontal scaling across multiple nodes or GPUs using NCCL, MPI, NVSHMEM, or equivalent high-performance communication stacks.

  • Aptitude for using agentic or AI-supported development tools alongside steadfast dedication to validation, testing, and code review standards.

#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 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 August 28, 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.

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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom