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Neural Magic Jobs (NOW HIRING)

Nvidia

OR

$15 - $20/hr

Experience with neural network-based quantum error correction decoders, either for topological or ... Experience with magic state preparation, distillation, or factory design, including decoding and ...

Neuralink

UI Design Engineer

South San Francisco, CA · On-site

$125K - $167K/yr

... by neural structure, model architecture, radio bandwidth, and more. For instance, a slight ... feels magical, beyond the local minima of that which "works." You'll do whatever it might take to ...

Bjak

Applied AI Engineer

Charleston, WV · Remote

Strong foundation in machine learning and modern neural network architectures. * Hands-on ... Our goal is to put in hands of our users a truly magical AI product. Interview process If there ...

Alembic

Patent Counsel

San Francisco, CA · On-site

$175K - $200K/yr

... Neural Network) architectures are defensible, timestamped, and protected. What You'll Do * Code ... magic" and the USPTO. * Portfolio Strategy: Manage our global IP portfolio, working with our ...

Alembic Limited

Patent Counsel

San Francisco, CA · On-site

... Neural Network) architectures are defensible, timestamped, and protected. What You'll Do * Code ... magic" and the USPTO. * Portfolio Strategy: Manage our global IP portfolio, working with our ...

Matic

iOS Engineer, Graphics and Rendering

Mountain View, CA · On-site

$120K - $200K/yr

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... magic to users * Closely collaborate with our Design, Software, Algorithms, and Hardware teams to ...

Alembic Technologies

Patent Counsel

San Francisco, CA · On-site

... Neural Network) architectures are defensible, timestamped, and protected. What You'll Do * Code ... magic" and the USPTO. * Portfolio Strategy: Manage our global IP portfolio, working with our ...

Matic

iOS Engineer, Graphics and Rendering

Mountain View, CA · On-site

$120K - $200K/yr

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... magic to users * Closely collaborate with our Design, Software, Algorithms, and Hardware teams to ...

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Neural Magic information

What is the difference between Neural Magic vs Data Scientist?

AspectNeural MagicData Scientist
Required CredentialsBackground in machine learning, deep learning, and software engineeringDegree in statistics, computer science, or related field; often includes certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI hardware and software optimizationBusiness, finance, healthcare, and tech sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing AI hardware/software solutionsEmployed across industries for data analysis, modeling, and insights

Neural Magic professionals focus on optimizing AI hardware and software, often requiring technical expertise in machine learning and software engineering. Data Scientists analyze data to generate insights, typically with backgrounds in statistics and data analysis. While both roles involve AI and data, Neural Magic is more hardware/software development-oriented, whereas Data Scientists focus on data analysis and modeling.

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Infographic showing various Neural Magic job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Quantum Error Correction Research Scientist Intern - Fall 2026

Quantum Error Correction Research Scientist Intern - Fall 2026

Nvidia

$15 - $20/hr

Full-time

Posted 13 days ago

Job description

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.


We are looking for a Quantum Error Correction Research Scientist Intern to develop automated, high-performance quantum error correction research pipelines spanning both code discovery and decoder design. NVIDIA is deeply invested in the future of quantum computing, building the accelerated platforms (cuQuantum, CUDA-Q, and Ising) that researchers around the world rely on to design, simulate, and scale quantum systems. On this team, you will help push frontier research at the intersection of quantum code design, neural decoders, and AI-driven automation, prototyping large-scale methods to computationally discover, evaluate, and improve quantum error correction schemes for realistic quantum systems.

What you'll be doing:

  • Developing automated quantum error correcting code discovery protocols and pipelines.
  • Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability.
  • Integrating various classical machine learning methods for identifying high-performance code constructions, building bespoke machine learning models tailored to high-performance code design, and developing machine learning-based decoders for topological and/or QLDPC codes, with an emphasis on improving decoding accuracy, scalability, and adaptability to quantum logic settings.
  • Building out methods to identify and evaluate high-performance error correcting codes and decoders that directly incorporate hardware constraints of various types of physical systems
  • Analyzing and evaluating the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

What we need to see:

  • Pursuing a Master's, or PhD in Physics, Electrical/Computer Engineering, Computer Science, or a related field.
  • Background in quantum computing fundamentals, especially the fundamentals of quantum error correction, stabilizer codes, coding theory, and decoders.
  • Solid proficiency in Python or similar scientific programming language experience.
  • Good teamwork, communication, and documentation skills.

Ways to stand out from the crowd:

  • Hands-on experience with tensor network, state vector, or quantum error correction methods for quantum circuit simulation.
  • Experience with neural network-based quantum error correction decoders, either for topological or QLDPC codes.
  • Familiarity with qubit loss, leakage, and other non-Pauli noise mechanisms, including methods for incorporating this information into QEC code design and decoder design.
  • Experience with magic state preparation, distillation, or factory design, including decoding and performance analysis of magic state factories.
  • GPU-accelerated simulation experience with cuQuantum, CUDA-Q, or related NVIDIA quantum software.

NVIDIA is 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. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Internbenefits.

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

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