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Software Engineer Research Intern Jobs (NOW HIRING)

Bedgear

Software Engineer Intern

Rock Hill, SC · On-site

$25 - $30/hr

Software Engineer Intern Department : Research & Innovation Reports to: Chief Science Officer Hours Available: 20-25 hours per week FLSA Class: Non-exempt, hourly EEO1 Classification : Professional ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

Agentic AI Research Intern Job Location: Santa Clara, California Location Flexibility: Multiple ... Publication record in top AI/ML, software engineering, or systems venues. Fujitsu salaries are ...

New York University

Research Intern

Brooklyn, NY · On-site

$48K - $62K/mo

RESEARCH INTERNSHIP Department of Computer Science and Engineering New York University The ... Intern to work with Prof. Nasir Memon. New York University (NYU) is one of the top private ...

New

OpusClip

AI Research Intern

Mountain View, CA · On-site

AI Research Intern We're looking for an AI Research Intern to join our AI team and explore cutting ... SFT, RLHF, DPO) Applied AI Engineering * Build AI-powered product features by integrating frontier ...

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How much do software engineer research intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for software engineer research intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a software engineer research intern, and why are they important?

To thrive as a Software Engineer Research Intern, you need strong programming skills, foundational knowledge in computer science, and a relevant academic background, such as progress toward a bachelor's or master's degree in a technical field. Familiarity with programming languages like Python, C++, or Java, as well as experience with research tools, version control systems (e.g., Git), and possibly frameworks for machine learning or data analysis, is often required. Critical thinking, curiosity, and effective communication help interns excel in collaborative research environments and adapt to rapidly changing project needs. These skills and qualities are crucial for contributing meaningful insights, producing reliable code, and supporting innovative research outcomes.

How does a software engineer research intern typically balance independent research tasks with collaborative team projects?

As a Software Engineer Research Intern, you'll often find yourself working on a mix of independent research assignments and collaborative projects with other engineers and researchers. It's common to tackle individual coding or data analysis tasks that support larger team objectives, while also participating in regular meetings, code reviews, and brainstorming sessions. Effective communication and time management are key, as you'll need to share your findings, seek feedback, and integrate your work into broader research efforts. Adapting to both autonomous and team-oriented work helps interns make a significant impact and learn from experienced colleagues.

What does a software engineer research intern do?

A Software Engineer Research Intern typically works on innovative projects, collaborating with experienced engineers and researchers to develop new technologies or improve existing ones. Their responsibilities often include coding, running experiments, analyzing data, and contributing to research papers or technical documentation. They may also help design algorithms, explore new software frameworks, and present their findings to the team. This role is a great opportunity for students to gain hands-on experience in both software development and research environments.
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Software Engineer Research Intern jobs near you
Infographic showing various Software Engineer Research Intern job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture!
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, inference and database GPU systems, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.
What you'll be doing:
  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.
  • Understand and analyze the interplay between application, operating systems, CPU and GPU architectures, and efficient algorithm designs.
  • Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.
  • Publish original research and speak at conferences and events.

What we need to see:
  • Currently pursuing a Ph.D. in CE/CS/EE or similar program area.
  • Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU-native database engines, and vector similarity search algorithms.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

Ways to stand out from the crowd:
  • Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
  • Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
  • A strong publication, patent, presentation, and research collaboration history is highly valuable.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, 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 30 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until June 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.
#deeplearning

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

Year founded

1993

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