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Biomedical Engineer Intern Jobs in Champaign, IL

CIT Trucks

Truck Sales Intern

Champaign, IL · On-site

$15.50 - $17.25/hr

Responsibilities of a Truck Sales Intern entail: * Conducting regular sales calls ranging from ... Engineering and selling products at profit levels established by CIT Trucks * Effectively ...

BIRKEYS FARM STORE

DOW Skillbridge Intern

Champaign, IL · On-site

$15 - $30/hr

POSITION SUMMARY: Active Military Only: Internship program for transitioning service members during their last 180 days of active duty, designed to learn the business processes of a Birkey's Farm ...

BIRKEYS FARM STORE

DOW Skillbridge Intern

Champaign, IL · On-site

$15 - $30/hr

POSITION SUMMARY: Active Military Only: Internship program for transitioning service members during their last 180 days of active duty, designed to learn the business processes of a Birkey's Farm ...

All JobsBiomedical Engineer Intern JobsBiomedical Engineer Intern Jobs in Champaign, IL

Biomedical Engineer Intern information

See Champaign, IL salary details

$13

$25

$38

How much do biomedical engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for biomedical engineer intern in Champaign, IL is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

How do biomedical engineer interns typically collaborate with multidisciplinary teams during their internship?

Biomedical Engineer Interns often work closely with professionals from various backgrounds, such as clinicians, mechanical engineers, and software developers. This collaboration is essential for integrating engineering solutions into healthcare settings. Interns may participate in project meetings, contribute to design discussions, and assist in prototype development, all while receiving mentorship from experienced team members. These interactions provide valuable insight into real-world problem-solving and help interns develop strong communication and teamwork skills.

What is the difference between Biomedical Engineer Intern vs Biomedical Equipment Technician?

AspectBiomedical Engineer InternBiomedical Equipment Technician
Required CredentialsTypically pursuing or recent graduate in biomedical engineering or related fieldAssociate's or bachelor's degree in biomedical technology or related field
Work EnvironmentResearch labs, hospitals, or internship settingsHospitals, clinics, or service centers
Employer & Industry UsageEducational institutions, research organizations, medical device companiesHealthcare facilities, medical equipment service providers
Common Search & ComparisonYesYes

The Biomedical Engineer Intern typically focuses on gaining hands-on experience in designing and testing medical devices, often in research or academic settings. In contrast, the Biomedical Equipment Technician primarily maintains, repairs, and calibrates medical equipment in healthcare environments. Both roles require technical knowledge, but the internship emphasizes learning and development, while the technician role involves operational responsibilities.

What is a biomedical engineer intern?

Biomedical Engineer Interns are students or recent graduates who work temporarily in biomedical engineering roles to gain practical experience. They assist in designing, developing, and testing medical devices, equipment, or software under the supervision of experienced engineers. Interns often participate in research, data analysis, product development, and quality assurance projects. This hands-on training helps them apply their academic knowledge to real-world healthcare challenges and prepares them for future careers in biomedical engineering.

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

To thrive as a Biomedical Engineer Intern, you need a solid background in biology, engineering principles, and mathematics, typically obtained through ongoing or completed coursework in biomedical engineering or a related field. Familiarity with CAD software, data analysis tools like MATLAB, and laboratory instrumentation is often expected. Strong problem-solving abilities, attention to detail, and effective teamwork set standout interns apart. These skills and qualities are crucial for contributing to innovative healthcare solutions and succeeding in collaborative research and development environments.
What are the most commonly searched types of Biomedical Engineer jobs in Champaign, IL? The most popular types of Biomedical Engineer jobs in Champaign, IL are:
What are popular job titles related to Biomedical Engineer Intern jobs in Champaign, IL? For Biomedical Engineer Intern jobs in Champaign, IL, the most frequently searched job titles are:
What job categories do people searching Biomedical Engineer Intern jobs in Champaign, IL look for? The top searched job categories for Biomedical Engineer Intern jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Biomedical Engineer Intern jobs? Cities near Champaign, IL with the most Biomedical Engineer Intern job openings:
Biomedical Engineer Intern jobs near you
Infographic showing various Biomedical Engineer Intern job openings in Champaign, IL as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $52,944 per year, or $25.5 per hour.

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

Nvidia

Champaign, IL • On-site

Full-time

Re-posted 18 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

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 Internbenefits.

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

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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