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Biomedical Optics Jobs in California (NOW HIRING)

Applied Materials

Systems Engineering Lead

Santa Clara, CA · On-site

$176K - $242K/yr

D. in Optical Engineering, Physics, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or related technical discipline. • 10+ years of experience in complex optical system ...

Amat

Systems Engineering Lead

Santa Clara, CA

$176K - $242K/yr

D. in Optical Engineering, Physics, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or related technical discipline. 10+ years of experience in complexopticalsystem ...

Astera Institute

In Vitro Neuroscientist

Emeryville, CA · On-site

... Biomedical Engineering, Physiology, or related discipline * Strong track record of hands-on experimental neuroscience research * Expertise in one or more of the following: * Optical techniques for ...

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Biomedical Optics information

What does a biomedical optics professional do?

Biomedical Optics professionals typically spend their days designing and testing optical devices or imaging systems used in medical diagnostics and research. Responsibilities often include calibrating instruments, analyzing imaging data, collaborating with clinicians and scientists, and documenting results for reports or publications. Many positions also involve troubleshooting technical issues and staying current with advancements in optical technology. This hands-on and research-driven environment requires a blend of technical expertise and teamwork to ensure ongoing innovation and successful project outcomes.

What is biomedical optics?

A Biomedical Optics job involves applying principles of optics and photonics to medical and biological problems. Professionals in this field develop imaging systems, laser therapies, and diagnostic tools for healthcare and research applications. They work in various settings, including academia, medical device companies, and hospitals. Responsibilities may include designing optical instruments, conducting experiments, and analyzing biomedical data. Strong skills in physics, engineering, and biology are essential for success in this role.

What are the key skills and qualifications needed to thrive in biomedical optics?

To thrive in Biomedical Optics, a strong background in physics, engineering, and biology is essential, often supported by an advanced degree in biomedical engineering or a related field. Familiarity with optical imaging systems, laser technologies, and data analysis software (such as MATLAB or LabVIEW) is commonly required, along with relevant research experience. Strong problem-solving abilities, attention to detail, and effective collaboration skills help professionals excel in multidisciplinary research and development environments. These competencies are crucial for innovating and maintaining high standards in designing optical solutions for medical diagnostics and therapies.

What are popular job titles related to Biomedical Optics jobs in California?

For Biomedical Optics jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomedical Optics jobs in California look for?

The top searched job categories for Biomedical Optics jobs in California are:

Biomedical Optics jobs near you
Infographic showing various Biomedical Optics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

AI Researcher - Multimodal Physiological Modeling

KOS AI

Palo Alto, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
KOS AI is developing the next generation of non-invasive metabolic monitoring technology. The AI Researcher will focus on creating advanced algorithms for interpreting multimodal physiological signals and modeling dynamic biological processes, contributing to the core intelligence of the product.
Responsibilities:
• Development of new feature extraction methods for optical signals, motion signals, and physiological biomarkers
• Design of noise-resilient, motion-resilient, and artifact-robust representations
• Exploration of frequency-based, time-domain, and hybrid feature spaces
• Discovery of patterns that reflect underlying biological processes
• Research and implementation of models capable of learning from complex, noisy, and high-variability biological data
• Development of ensemble systems, temporal models, and context-aware learning frameworks
• Design of robust inference pipelines capable of running efficiently on constrained environments
• Integration of uncertainty, confidence scoring, and adaptive filtering
• Modeling of dynamic processes related to human physiology, metabolism, and behavioral context
• Exploration of relationships between physiological signals, daily patterns, and state transitions
• Development of personalized data adaptation methods that learn individual physiological baselines and trends
• Research on forecasting trends and physiological trajectories
• Identification of behavioral and biological events from multimodal data
• Development of systems that adapt to real-world, irregular, and incomplete signals
• Working with diverse datasets collected across multiple conditions
• Data cleaning, harmonization, and statistical evaluation
• Designing experiments to validate new features, models, and interpretation techniques
Qualifications:
Required:
• Strong foundations in machine learning, time-series modeling, or signal processing
• High proficiency in Python and modern deep learning frameworks
• Experience working with noisy, real-world, or multimodal data
• Ability to explore scientific literature and convert insights into working algorithms
• Curiosity, creativity, and a strong desire to work on difficult open-ended problems
Preferred:
• Research experience with biomedical signals or physiological modeling
• Background in optical sensing, human physiology, or biosignal analytics
• Experience working with low-power or resource-constrained inference environments
• Familiarity with probabilistic modeling, uncertainty quantification, or ensemble systems
• Demonstrated ability to design and carry out empirical research
Company:
Kos provides real-time, interactive and cost-effective healthcare using a wearable technology and AI/ML proprietary system. Founded in 2020, the company is headquartered in Palo Alto, California, US, , with a team of 11-50 employees. The company is currently Early Stage.

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