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Virtual Internship Physics information

What is a virtual internship physics?

Virtual internship physics positions are remote opportunities that allow students or recent graduates to gain practical experience in the field of physics without being physically present at an organization. These internships typically involve tasks such as data analysis, research projects, simulations, or scientific writing, all conducted online. They are ideal for students looking to build their skills, collaborate with professionals, and contribute to real-world physics projects from anywhere with internet access.

How do virtual physics interns typically collaborate with their mentors and team members during the internship?

Virtual physics interns usually communicate and collaborate with their mentors and team members through digital platforms such as video conferencing, instant messaging, and project management tools. Regular check-ins, virtual meetings, and collaborative online documents help ensure that interns stay connected and engaged with ongoing research or projects. While the remote format may present initial challenges in building relationships, most programs provide structured mentorship and clear communication channels to support learning and integration into the team. Interns are encouraged to proactively ask questions and participate in virtual group discussions to maximize their experience.

What are the key skills and qualifications needed to thrive as a virtual internship physics participant, and why are they important?

To thrive in a Virtual Internship Physics position, you need a solid understanding of physics concepts, strong analytical skills, and often ongoing enrollment in a relevant degree program. Familiarity with data analysis software (such as MATLAB or Python), remote collaboration tools, and possibly simulation platforms is typically required. Effective communication, self-motivation, and time management are crucial soft skills for excelling in a remote environment. These skills ensure you can contribute meaningfully to projects, collaborate with mentors and peers, and make the most of virtual learning opportunities.

What is the difference between Virtual Internship Physics vs Virtual Internship Engineering?

AspectVirtual Internship PhysicsVirtual Internship Engineering
Required CredentialsTypically requires physics coursework or related degreesRequires engineering coursework or related degrees
Work EnvironmentRemote, research-focused, data analysis, simulationsRemote, design, problem-solving, project development
Employer & Industry UsageUniversities, research labs, tech companiesEngineering firms, manufacturing, tech companies
Common Search & ComparisonYesNo

Virtual Internship Physics and Virtual Internship Engineering share similarities in remote work settings and industry usage, but differ mainly in their focus areas—research and data analysis for physics, design and problem-solving for engineering. Candidates should choose based on their academic background and career goals.

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

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

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

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

What cities in California are hiring for Virtual Internship Physics jobs?

Cities in California with the most Virtual Internship Physics job openings:

Virtual Internship Physics jobs near you

NVIDIA 2027 Internships: Ph.D. Research Graphics and Simulation

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

New

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Graphics and Simulation 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 Graphics and Simulation teams. We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
  • Design and develop algorithms, hardware, and software that advance the state of the art in computing, graphics, media processing, and other technologies central to NVIDIA's business.
  • Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results may include prototypes, patents, leading to products and publications.
  • Collaborate with other team members, teams, and/or external researchers.

What we need to see:
  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical 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, prior experience or knowledge requirements could include the following programming skills and technologies:

Python, C, CUDA, HLSL/GLSL, ML Frameworks (PyTorch, JAX, Warp)
  • Strong background in research with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas:
  • Real-Time Graphics and Rendering

Differentiable Rendering
Ray Tracing and Path Tracing
Neural Rendering Models
Light Transport and Material/Shape Modeling
  • Simulation and Animation

Physics-based simulation
World models
Deep learning for animation
3D and 4D Content Creation
Virtual and augmented reality environments
  • Generative AI for graphics, simulation, and content creation
  • 3D Deep Learning
  • Digital human creation
  • Human motion modeling
  • GPU-accelerated algorithms and systems for graphics and simulation
  • Synthetic data generation

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 38 USD - 94 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

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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