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Remote Biomedical Engineer Jobs in Boston, MA (NOW HIRING)

Regulatory & Clinical Specialist

Boston, MA · Remote

$85K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum of a master's degree in biomedical engineering, science or equivalent technical discipline ... This is a remote role (candidates must be based in the United States) * Occasional travel may be ...

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Senior Engineer (Autonomy - Localization ... Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ...

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Senior Engineer (Autonomy Integration) Ref ... No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ...

Software Engineer

Chelmsford, MA · On-site +1

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support manufacturing and field service engineers in investigating and troubleshooting field issues (remote or on-site). WHAT YOU'LL BRING * Proficiency in programming C++11 or later. * Experience ...

Software Engineer

Boston, MA · On-site +1

  • Medical

  • Dental

  • Life

We are a remote-first company, and for the folks that like to meet in person, we have offices in ... Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and ...

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be responsible for designing, scaling, and maintaining the infrastructure and internal developer ...

Software Engineer

Lowell, MA · On-site +1

$96K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Software Engineer, your main focus will be on designing, developing, testing and collaborating ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Distribution Engineer

Boston, MA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Hybrid - Boston, MA preferred, or Remote (Eastern Time Zone). Travel: Travel to conferences ... Collaborate with product, engineering, and customer success teams to ensure customer needs and ...

Senior Engineer

Boston, MA · On-site +1

$135K - $175K/yr

  • Medical

  • Life

  • Retirement

Senior Software Engineer Broomfield, CO Boston, MA Los Angeles, CA Hybrid Schedule (M/F remote, T/W ... Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Senior Distribution Engineer

Boston, MA · On-site +1

$145K - $175K/yr

Hybrid - Boston, MA preferred, or Remote (Eastern Time Zone). ✈️ Travel: Travel to conferences ... Collaborate with product, engineering, and customer success teams to ensure customer needs and ...

Software Engineer

Boston, MA · On-site +1

$110 - $125K/hr

Role We're hiring a Software Engineer to help build our platform that's redefining how CPG ... Remote-first environment, with co-working access for locals in BOS, NYC, & DEN * Competitive salary ...

Showing results 41-60

Remote Biomedical Engineer information

See Boston, MA salary details

$44.5K

$103K

$152.1K

How much do remote biomedical engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote biomedical engineer in Boston, MA is $102,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $126,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote biomedical engineers, and how can they be addressed?

Remote biomedical engineers often encounter challenges such as limited hands-on access to equipment, coordinating with geographically dispersed teams, and ensuring effective communication with stakeholders. To address these, engineers rely on virtual collaboration platforms, detailed documentation processes, and proactive engagement with both technical and non-technical colleagues. It's important to develop strong time-management habits and seek regular feedback to stay aligned with project goals. As remote work becomes more common, employers are increasingly providing advanced digital tools and resources to help remote biomedical engineers stay productive and connected.

What is a remote biomedical engineer?

A Remote Biomedical Engineer designs, develops, and maintains medical devices and healthcare technology while working from a remote location. They collaborate with healthcare professionals, manufacturers, and research teams to ensure the safety and efficiency of biomedical equipment. Responsibilities may include troubleshooting medical devices, conducting virtual testing, and ensuring regulatory compliance. Remote Biomedical Engineers use digital tools to analyze data, provide technical support, and contribute to advancements in healthcare technology. This role requires strong problem-solving skills, technical expertise, and effective communication to work with cross-functional teams remotely.

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

To thrive as a Remote Biomedical Engineer, you need a degree in biomedical engineering or a related field along with solid analytical, problem-solving, and project management skills. Familiarity with CAD software, medical device regulations (such as FDA or ISO standards), and experience with remote collaboration tools are highly beneficial. Excellent written and verbal communication, self-motivation, and adaptability are critical soft skills for working effectively without direct supervision. These abilities enable successful design, troubleshooting, and support of biomedical devices while collaborating remotely across multidisciplinary teams and meeting regulatory requirements.

What are the most commonly searched types of Biomedical Engineer jobs in Boston, MA?

The most popular types of Biomedical Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Biomedical Engineer jobs?

Cities near Boston, MA with the most Remote Biomedical Engineer job openings:

Infographic showing various Remote Biomedical Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $102,999 per year, or $49.5 per hour.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

Cambridge, MA • On-site, Remote

$114K - $156K/yr

Full-time

Re-posted 23 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

  • You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.

  • A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them.

  • Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.

  • Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.

  • You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.

  • You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs

  • Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities.

The Ideal Candidate:

  • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

  • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

  • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

  • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

  • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies

  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

  • 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen)

  • 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning)

  • 8+ years of experience designing mission-critical machine learning platforms

  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems

  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level

  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

  • Master's degree in Computer Science, Computer Engineering, or relevant technical field

  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

  • Experience leading GenAI or LLM-Powered application architectures in production

  • Deep understanding of Responsible AI, data privacy and multi-tenant security patterns

  • K8s mastery (multi-region clusters, service mesh)

  • Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer


Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer






Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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