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Virtual Quantum Computing Internship Jobs in California

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Virtual Quantum Computing Internship information

What is a virtual quantum computing internship?

A Virtual Quantum Computing Internship is a remote work opportunity where students or early-career professionals gain practical experience in quantum computing through online projects, mentorship, and training. Interns typically work on tasks like quantum algorithm development, simulation, and research, often using cloud-based quantum computers or simulators. This type of internship allows participants to collaborate with experts, attend virtual workshops, and build skills in areas like quantum programming languages (e.g., Qiskit, Cirq) without needing to relocate. These internships are ideal for those interested in cutting-edge technology and eager to contribute to the rapidly evolving field of quantum computing.

What types of projects or tasks can I expect to work on during a virtual quantum computing internship?

During a Virtual Quantum Computing Internship, you can expect to work on a variety of projects such as developing quantum algorithms, simulating quantum circuits, and contributing to open-source quantum software. Interns often collaborate with experienced researchers and engineers, participate in code reviews, and present findings in team meetings. You'll likely use platforms like Qiskit or Cirq, and may also analyze real-world data sets or help optimize existing quantum solutions. This hands-on experience not only builds technical skills but also exposes you to the collaborative and fast-evolving nature of the quantum computing field.

What are the key skills and qualifications needed to thrive as a virtual quantum computing intern, and why are they important?

To thrive as a Virtual Quantum Computing Intern, you need a foundational understanding of quantum mechanics, linear algebra, and computer science, often supported by coursework or a degree in physics, mathematics, or a related field. Familiarity with quantum programming languages like Qiskit or Cirq, and experience using cloud-based quantum computing platforms are typically expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate remotely and learn quickly in this evolving field. These skills and qualities are essential for contributing meaningful work, adapting to new quantum technologies, and maximizing the learning experience in a virtual environment.

What is the difference between Virtual Quantum Computing Internship vs Quantum Computing Research Assistant?

AspectVirtual Quantum Computing InternshipQuantum Computing Research Assistant
Required CredentialsEnrolled in or recent graduate in Computer Science, Physics, or related fieldsAdvanced degree (Master's or PhD) in Physics, Computer Science, or Quantum Computing
Work EnvironmentRemote, project-based, often with industry or tech companiesAcademic labs, university research centers, or industry R&D teams
Employer & Industry UsageTech companies, startups, educational platformsUniversities, research institutions, industry R&D divisions

The Virtual Quantum Computing Internship is typically a remote, short-term program aimed at students or recent graduates gaining practical experience in quantum computing. In contrast, a Quantum Computing Research Assistant usually holds an advanced degree and works in academic or research settings, focusing on in-depth research projects. Both roles involve quantum computing but differ in experience level, environment, and scope.

What are popular job titles related to Virtual Quantum Computing Internship jobs in California?

For Virtual Quantum Computing Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Virtual Quantum Computing Internship jobs in California look for?

The top searched job categories for Virtual Quantum Computing Internship jobs in California are:

What cities in California are hiring for Virtual Quantum Computing Internship jobs?

Cities in California with the most Virtual Quantum Computing Internship job openings:

Virtual Quantum Computing Internship jobs near you
Infographic showing various Virtual Quantum Computing Internship job openings in California as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution.

NVIDIA 2027 Internships: Software Engineering

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

By submitting your resume, you acknowledge that your 2027 Software Engineering internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
Potential Internships in this field include:
Development Tools
  • Debugging complex system-level issues using Jenkins
  • Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization

Cloud
  • Supporting overall architecture and design of our cloud storage infrastructure
  • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
  • Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging

Tools Infrastructure
  • Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
  • Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
  • Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Machine Learning Operations
  • Deep Learning, GPU Computing, Accelerated Computing
  • Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN)
  • Data Preprocessing, Training Acceleration (CUDA, cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT)
  • Building Infrastructure for Back-End Analytics

What we need to see:
  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Java, JavaScript, (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
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 Intern benefits.
Applications are accepted on an ongoing basis.
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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