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Google Biomedical Engineering Jobs (NOW HIRING)

Genesis10

Backend AI Engineer - Remote

San Diego, CA · On-site

$43 - $53/hr

The ideal candidate will have extensive experience with Google Gemini/Vertex AI, Python, and modern ... Bachelor's degree in Software/Computer/IT/Systems/Biomedical Engineering or a related technical ...

New

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

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Google Biomedical Engineering information

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$41K

$94.8K

$140K

How much do google biomedical engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for google biomedical engineering in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a Google biomedical engineering job?

A Google Biomedical Engineering job involves applying engineering principles to develop innovative healthcare technologies, medical devices, and computational tools. Biomedical engineers at Google work on projects related to AI-driven diagnostics, wearable health technologies, and bioinformatics. They collaborate with scientists, software engineers, and healthcare professionals to improve patient outcomes and advance medical research. The role requires expertise in biomedical engineering, programming, and data analysis.

What types of projects do Google biomedical engineering professionals typically work on, and how do they collaborate with other teams?

Biomedical Engineering professionals at Google are commonly involved in projects such as developing health-related algorithms, improving medical imaging technologies, and creating data-driven healthcare solutions. They work closely with interdisciplinary teams, including software developers, data scientists, clinicians, and UX designers, to bring advanced medical technologies to market. Daily responsibilities may involve analyzing large-scale health data, prototyping wearable devices, or optimizing healthcare AI applications. Collaboration is key, as projects often require coordination between research, engineering, and regulatory teams to ensure robust and user-friendly outcomes.

What are the key skills and qualifications needed to thrive in the Google biomedical engineering position, and why are they important?

To thrive as a Google Biomedical Engineer, you need a strong background in biomedical engineering, computer science, and data analysis, ideally supported by an advanced degree and practical experience. Familiarity with software development tools (such as Python or MATLAB), medical imaging systems, and machine learning platforms is commonly required. Strong problem-solving abilities, effective communication skills, and a collaborative mindset are vital soft skills for working on cross-functional teams. These competencies ensure innovative solutions, effective teamwork, and the ability to translate complex biomedical data into impactful technologies.

More about Google Biomedical Engineering jobs

What cities are hiring for Google Biomedical Engineering jobs?

Cities with the most Google Biomedical Engineering job openings:

What are the most commonly searched types of Google Biomedical Engineering jobs?

The most popular types of Google Biomedical Engineering jobs are:

What states have the most Google Biomedical Engineering jobs?

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Google Biomedical Engineering jobs near you
Infographic showing various Google Biomedical Engineering job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 61% Full Time, and 35% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

Backend AI Engineer - Remote

Genesis10

San Diego, CA • On-site

$43 - $53/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Job description

Genesis10 is currently seeking a Backend AI Engineer - Remote for a contract position with a Global Medical Technology Company located in San Diego, CA. This is a 12+ month contract opportunity. This position is 100% remote.
Compensation: $43.00 - $53.00 per hour, W2, based on qualifications
Position Overview:
This role focuses on developing and implementing generative AI solutions, including building robust RAG pipelines, fine-tuning LLMs, and creating high-performance APIs. The ideal candidate will have extensive experience with Google Gemini/Vertex AI, Python, and modern AI frameworks to handle unstructured, multi-source data within a regulated domain.
Key Responsibilities:
  • Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance
  • Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses
  • Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies
  • Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents
  • Fine-tune and train generative AI models using engineering data and domain knowledge
  • Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces
  • Develop backend functionalities to automatically generate technical requirements from design documents and user stories
  • Thoroughly document architecture, code, REST endpoints, and model training procedures
  • Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows
  • Implement hallucination checks, PII masking, and guardrails for medical device context, and track token usage, latency, and costs

Primary Requirements:
  • Bachelor's degree in Software/Computer/IT/Systems/Biomedical Engineering or a related technical discipline
  • 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years
  • Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration
  • Experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes)
  • Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith)
  • Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data
  • Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector)
  • Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, etc)
  • Software Skills: Python (AsyncIO, OOP), SQL, PyTorch, LangChain, LangSmith, Vertex AI SDK, FastAPI, Flask, REST APIs, SSE, Milvus, Pgvector, Docker, Google Cloud Platform (Vertex AI, Cloud Run, GKE), Git

Desired Skills:
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask)
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485)
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude)
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration)
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer)

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.
If you have the described qualifications and are interested in this exciting opportunity, please apply!
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website.
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#DIG10-MW
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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999

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