1

Virtual Biomedical Engineer Internship Jobs in California

Manufacturing Engineer I

Carlsbad, CA · On-site

$75K - $97K/yr

Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Biomedical Engineering ... Internship, cooperative education, or equivalent manufacturing experience is preferred. * Basic ...

Manufacturing Engineer I

Carlsbad, CA · On-site

$75K - $97K/yr

Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Biomedical Engineering ... Internship, cooperative education, or equivalent manufacturing experience is preferred. * Basic ...

Manufacturing Engineer I

Carlsbad, CA · On-site

$75K - $97K/yr

Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Biomedical Engineering ... Internship, cooperative education, or equivalent manufacturing experience is preferred. * Basic ...

Manufacturing Engineer I

Carlsbad, CA

$75K - $97K/yr

Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Biomedical Engineering ... Internship, cooperative education, or equivalent manufacturing experience is preferred. Basic ...

Process Engineering Intern: Contributed to the startup activities of a new chemical process ... virtual Let's Connect Series. You can even join an Employee Resource Group at Evonik to connect ...

Showing results 41-60

Virtual Biomedical Engineer Internship information

What is a virtual biomedical engineer internship?

A Virtual Biomedical Engineer Internship is a remote work experience where students or recent graduates gain practical exposure to biomedical engineering tasks and projects through online platforms. Interns typically assist in designing medical devices, analyzing biomedical data, or supporting research and development teams—all while working from home or another remote location. This format allows interns to collaborate with professionals, develop technical skills, and contribute to healthcare innovations without needing to be physically present in a laboratory or office. Such internships are ideal for those seeking flexibility or who are unable to relocate. They often involve communication via video calls, email, and project management tools.

What are the key skills and qualifications needed to thrive as a virtual biomedical engineer intern?

To thrive as a Virtual Biomedical Engineer Intern, you need a solid background in biomedical engineering principles, problem-solving, and data analysis, generally supported by enrollment in or completion of a relevant engineering degree program. Familiarity with computer-aided design (CAD) tools, simulation software, and basic programming languages like MATLAB or Python is often expected. Strong communication, self-motivation, and adaptability are crucial soft skills in a remote environment. These skills and qualities enable you to effectively contribute to project goals, collaborate remotely with diverse teams, and adapt to evolving technical challenges in the biomedical field.

What types of projects and team collaborations can I expect during a virtual biomedical engineer internship?

As a virtual biomedical engineer intern, you’ll typically work on projects like designing medical device prototypes, analyzing biomedical data, or conducting literature reviews on emerging technologies. You’ll frequently collaborate with multidisciplinary teams—including engineers, researchers, and clinicians—using digital communication tools for meetings and project management. Expect regular check-ins with mentors, participation in group brainstorming sessions, and opportunities to present your findings. The virtual format emphasizes strong communication, self-management, and proactive engagement with team members to ensure project success.

What is the difference between Virtual Biomedical Engineer Internship vs Virtual Biomedical Technician Internship?

AspectVirtual Biomedical Engineer InternshipVirtual Biomedical Technician Internship
Required CredentialsTypically requires a biomedical engineering background or related degreeOften requires technical training or certification in medical equipment
Work EnvironmentRemote, project-based, involving design and development tasksRemote or on-site, focusing on maintenance and troubleshooting
Employer & Industry UsageUsed by medical device companies, research institutions, and healthcare tech firmsCommon in hospitals, clinics, and medical equipment service providers

The Virtual Biomedical Engineer Internship focuses on designing and developing medical devices and systems, requiring engineering skills. In contrast, the Virtual Biomedical Technician Internship emphasizes maintenance, troubleshooting, and repair of medical equipment. Both roles are valuable in healthcare technology, but they differ in responsibilities and skill requirements.

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

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

What cities in California are hiring for Virtual Biomedical Engineer Internship jobs?

Cities in California with the most Virtual Biomedical Engineer Internship job openings:

NVIDIA 2027 Summer Internships: Ph.D. Engineering

Nvidia

Santa Clara, CA

$19.75 - $25.50/hr

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 Ph.D. 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 Computer Architecture and Systems teams.We'reseekingstrategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Learn more aboutResearch at NVIDIA.

What you will be doing:

  • Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems that advance computing, graphics, media processing, and related technologies central to NVIDIA's business.

  • Collaborate with other team members, teams, and/or external researchers.

  • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

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 couldinclude the following programming skills and technologies:C, C++, Python,CUDA

  • Strong background in research with publications at top conferences.

  • Excellent communication and collaboration skills.

Potential internships require research experience in at least one of the following areas:

  • Chip-level and System-level Architecture

GPU and Multi-GPU ArchitectureScalable memory systems and new memory technologies

Scalable on-chip and off-chip interconnects

Chip-level and system-level scheduling

Power, performance, and energy-efficiency in large-scale systems

Specialized accelerators for workloads like AI algorithms, crypto algorithms, databases, etc.

Hardware-software co-design

  • Systems for AI/ML

Systems Infrastructure for large LLM training and inference

Systems/AI algorithms codesign (e.g., for sparsity)\

AI/ML for systems (hardware design, code optimization, etc.)

ML for EDA

  • Programming Systems

GPU-accelerated algorithms

Languages and programming models for parallel computing

Optimizing compilers and AI-based performance assistants

Distributed runtime systems

Systems software and operating system interfaces

Optimizing GPU-accelerated workloads

Compilers and code verification

  • High-Performance Networking and Interconnects

Large-scale GPU networking

Topologies, routing, and congestion control

Networking techniques at the intersection of scale-out and scale-up

  • VLSI and Electronic Design Automation (EDA)

GPU Accelerated EDA

Clickhereto learn more about NVIDIA, our early talent programs, benefits offered to studentsand 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 Internbenefits.

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