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Internship Computer Science Opt Jobs in Santa Clara, CA

... Internship level experience. Position 1 - Automation QA Engineer Education: BS/MS degree/Engg (CS ... Masters/Bachelors preferably in Computer Science, Engineering, MBA and also for the people who have ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Senior Verification Engineer

Mountain View, CA · On-site

$123K - $169K/yr

OR Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience or internship experience * OR Master's degree in ...

Android Developer

Santa Clara, CA · On-site

$65.50 - $86/hr

OPT and EAD can apply Required Skills: Requires a bachelor's degree in area of Computer Science and at least 3-5 years of experience in the field or in a related area: Experience with Android ...

Showing results 21-40

Internship Computer Science Opt information

What are internship opportunities for computer science OPT students?

Internship opportunities for Computer Science OPT (Optional Practical Training) students are temporary work experiences in the tech industry that allow F-1 visa holders to apply their academic knowledge in real-world settings. These internships can be with tech companies, startups, research labs, or IT departments, and often focus on software development, data analysis, cybersecurity, or other computer science fields. OPT internships help students gain valuable work experience, build professional networks, and potentially secure full-time employment after graduation. Students must ensure that the internship is directly related to their major and complies with OPT regulations set by the U.S. Citizenship and Immigration Services (USCIS).

What are the key skills and qualifications needed to thrive as an internship computer science OPT, and why are they important?

To thrive in a Computer Science Internship, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by ongoing or completed coursework in computer science. Familiarity with version control systems like Git, basic software development tools, and sometimes introductory knowledge of databases or web frameworks is often expected. Strong problem-solving abilities, effective communication, and eagerness to learn help interns stand out and integrate well within teams. These skills and qualities are important because they enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow professionally in a real-world tech environment.

What types of projects can I expect to work on during a computer science internship, and how much guidance will I receive?

As a Computer Science intern, you can expect to work on a variety of projects ranging from software development and debugging to data analysis and testing. These projects often support ongoing team initiatives or introduce new features under the supervision of experienced engineers. Interns typically receive mentorship from a dedicated supervisor and collaborate with team members during code reviews, daily stand-ups, and brainstorming sessions. While you will be encouraged to take initiative and solve problems independently, guidance and feedback are provided regularly to help you grow and succeed in your role.

What is the difference between Internship Computer Science Opt and Software Developer Intern?

AspectInternship Computer Science OptSoftware Developer Intern
Required CredentialsEnrolled in or recent graduate of CS program, OPT authorizationEnrolled in or recent graduate of CS program, internship eligibility
Work EnvironmentTech companies, startups, research labsTech companies, startups, software firms
Employer & Industry UsageUsed for international students on OPT to gain work experienceCommon internship role for students seeking software development experience

Internship Computer Science Opt and Software Developer Intern roles share similar credentials and work environments, often found in tech companies. The main difference is that the Internship Computer Science Opt specifically caters to international students on OPT, while Software Developer Intern is a broader role for all students. Both provide valuable industry experience, but the OPT internship is tied to visa status requirements.

What are the most commonly searched types of Computer Science Opt jobs in Santa Clara, CA? The most popular types of Computer Science Opt jobs in Santa Clara, CA are:
What are popular job titles related to Internship Computer Science Opt jobs in Santa Clara, CA? For Internship Computer Science Opt jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Internship Computer Science Opt jobs in Santa Clara, CA look for? The top searched job categories for Internship Computer Science Opt jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Internship Computer Science Opt jobs? Cities near Santa Clara, CA with the most Internship Computer Science Opt job openings:

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 22 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The Human Performance and Experience team is seeking a Research Scientist to advance AI in gaming and robotics by understanding human interaction and perception, collaborating with various teams and mentoring interns.
Responsibilities:
• Propose, research, prototype and test innovative research ideas.
• Publish at top conferences and patent novel inventions.
• Collaborate with other research team members, external researchers, and mentor interns.
• Create working interactive demonstrations to showcase your research ideas.
• Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Qualifications:
Required:
• Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
• Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
• Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
• Proficiency with Python, Rust, and/or C++.
• Experience with AI model training and evaluation frameworks, like PyTorch.
Preferred:
• Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
• Experience with multi-node, multi-GPU training and inference workflows.
• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
• A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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