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Remote Biomedical Engineering Jobs in Fremont, CA

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

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All JobsBiomedical Engineering JobsRemote Biomedical Engineering JobsRemote Biomedical Engineering Jobs in Fremont, CA

Remote Biomedical Engineering information

See Fremont, CA salary details

$44.9K

$103.8K

$153.3K

How much do remote biomedical engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote biomedical engineering in Fremont, CA is $103,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $127,000.00 per year, depending on experience, location, and employer.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

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

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

Can you work remotely as a biomedical engineer?

Remote biomedical engineering jobs are available, especially in roles involving software development, data analysis, or remote diagnostics. However, many positions require on-site work for equipment installation, maintenance, or clinical collaboration. The availability of remote work depends on the specific employer and job responsibilities.

Which remote biomedical engineering jobs can be done remotely?

Remote biomedical engineering jobs include roles such as biomedical software developer, medical device quality assurance specialist, and telehealth technology support engineer. These positions often require skills in software programming, regulatory compliance, and familiarity with medical devices, and can be performed from home with appropriate tools and secure access to company systems.

What are the most commonly searched types of Biomedical Engineering jobs in Fremont, CA?

The most popular types of Biomedical Engineering jobs in Fremont, CA are:

What are popular job titles related to Remote Biomedical Engineering jobs in Fremont, CA?

For Remote Biomedical Engineering jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Engineering jobs in Fremont, CA look for?

The top searched job categories for Remote Biomedical Engineering jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Biomedical Engineering jobs?

Cities near Fremont, CA with the most Remote Biomedical Engineering job openings:

Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Fremont, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $103,782 per year, or $49.9 per hour.

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Internship

Posted 29 days ago

Job description

Lab Summary: 

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary: 

We are looking for Ph.D. candidates with solid ML/AI/GenAI technology background and digital health-related research project experiences in multi-modal physiological health algorithm development, large-scale wearable data analytics, and physiological signal processing. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities: 

  • You will work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions.
  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets to train and fine-tune ML/DL models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.

Required Skills: 

  • Currently pursuing PhD degree in computer science, electrical engineering, biomedical engineering or related areas
  • Solid coding skills with prototyping experience in AI model development, data science, and machine learning
  • Experience in physiological signal processing, large-scale time-series data analytics in digital health domain
  • Strong knowledge and experience in developing AI/ML foundation models and their finetuning approaches
  • Programming using languages such as Python, R, C/C++, Java, Android
  • Experience with cloud infra services like AWS, SageMaker Studio, GCP, SQL, and collaboration tools like github
  • Good communication/presentation skills and teamwork/collaboration spirit
  • Publication in top-tier journals and conferences

This position is open to candidates who are legally authorized to work in the United States.

Apply