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Overnight Google Biomedical Engineering Jobs (NOW HIRING)

$203K/yr

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical ... Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel ...

... biomedical engineering, electronics, or related field Work Environment & Physical Requirements * Field-based role with frequent travel within a 4-hour radius ; occasional overnight or air travel ...

Biomedical Technician

Anaheim, CA · On-site

$27.50 - $43.90/hr

An associate degree in electronics, mechanical engineering, or biomedical equipment technology ... The ability to travel a minimum of 30% annually, including overnight extended stay, to support ...

Associate's or Bachelor's degree in biomedical engineering, electronics, or related technical field ... Occasional overnight stays or air travel may be required based on client needs. Benefits * 401(k) ...

Biomedical Technician

Fullerton, CA · On-site

$27.50 - $43.90/hr

An associate degree in electronics, mechanical engineering, or biomedical equipment technology ... The ability to travel a minimum of 30% annually, including overnight extended stay, to support ...

Typical weekday travel is defined as daily customer visits not requiring overnight travel but ... Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other ...

An associate degree in electronics, mechanical engineering, or biomedical equipment technology ... Willingness to travel a minimum of 70% annually including overnight extended stay, to support ...

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Overnight Google Biomedical Engineering information

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$41K

$94.8K

$140K

How much do overnight google biomedical engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for overnight 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.

Does Google hire biomedical engineers?

Google hires biomedical engineers for roles related to healthcare technology, medical data analysis, and health-related research projects. These positions often require skills in engineering, data analysis, and familiarity with medical devices or software tools. Candidates typically need relevant education and experience in biomedical engineering or related fields.

What engineers make $300,000 a year?

In biomedical engineering, senior roles such as lead biomedical engineers or engineering managers can reach or exceed $300,000 annually, especially with extensive experience, advanced degrees, and leadership responsibilities. High compensation is often associated with specialized skills, working in biotech or medical device companies, and holding managerial or executive positions.

What is the difference between Overnight Google Biomedical Engineering vs Overnight Google Data Science?

AspectOvernight Google Biomedical EngineeringOvernight Google Data Science
Required CredentialsBiomedical engineering degree, certifications in medical device designData science degree, certifications in machine learning and analytics
Work EnvironmentResearch labs, medical device development, healthcare settingsData analysis teams, cloud platforms, tech offices
Employer & Industry UsageHealthcare, medical device companies, biotech firmsTech companies, finance, marketing analytics

Overnight Google Biomedical Engineering focuses on developing medical devices and healthcare solutions, requiring biomedical credentials and working in healthcare environments. In contrast, Overnight Google Data Science involves analyzing large datasets to inform business decisions, with a focus on data analysis skills and working in tech or corporate settings. Both roles are integral to Google's innovation but serve different industry needs.

What engineers make $500,000?

Senior biomedical engineers, especially those in leadership roles or with specialized expertise in areas like medical device development or biomedical research, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced degrees, and skills in regulatory compliance, project management, or cutting-edge technology development.
What cities are hiring for Overnight Google Biomedical Engineering jobs? Cities with the most Overnight 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 Overnight Google Biomedical Engineering jobs? States with the most job openings for Overnight Google Biomedical Engineering jobs include:
(US) Edge AI Architect- CUDA / C++ / Computer Vision

(US) Edge AI Architect- CUDA / C++ / Computer Vision

Codvo.ai

On-site

$203K/yr

Full-time

Re-posted 16 days ago


Job description

Job Description: Edge AI Architect - CUDA / C++ / Computer Vision
Experience Level: 10+ Years
Department: Edge AI & Embedded Systems

About the Role:

We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong background in Edge AI devices, computer vision algorithms, and AI model deployment in the MedTech domain. This role is pivotal in developing and optimizing AI-powered medical devices that operate at the edge, ensuring performance, reliability, and compliance with healthcare standards.


Key Responsibilities:

           Design, develop, and optimize AI models for deployment on Edge AI devices in medical applications.

           Implement and evaluate computer vision algorithms for real-time video and image analysis.

           Collaborate with cross-functional teams to integrate AI solutions into embedded systems and medical devices.

           Ensure compliance with SaMD classification, regulatory standards, and quality processes.

           Document design specifications, test protocols, and validation reports in accordance with regulatory requirements.

           Communicate technical findings and project updates effectively to stakeholders.


Required Qualifications:

           Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field.

           8+ years of experience in AI engineering, preferably in medical devices or healthcare technology.

           Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius).

           Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with custom GPU configuration

           Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.

           AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding

           Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards.

           Experience with embedded systems development and real-time processing.

           Excellent verbal and written communication skills.


Nice to Have:

           Experience testing or developing AI systems for surgical applications.

           Familiarity with test data validation for computer vision and video-based AI models.

           Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare.

           Experience with cloud-edge integration and CI/CD pipelines for AI deployment.

Employment Type: FULL_TIME