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Neural Signal Processing Jobs in California (NOW HIRING)

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

Deep expertise in ECG signal processing, digital signal processing, and statistical modeling ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

Deep expertise in ECG signal processing, digital signal processing, and statistical modeling ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here ...

At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

Our technology powers everything from large language models and CNNs to advanced signal processing ... Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ...

At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ... neural networks, CNN, RNN, etc. * Expertise in data analysis and data mining * Experience with ...

Our technology powers everything from large language models and CNNs to advanced signal processing ... Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ...

... neural models on GPU/accelerator clusters. * Solid understanding of audio and speech fundamentals spectrograms, mel features, vocoders, codec-based representations, and signal processing.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

Research Engineer, Voice

Palo Alto, CA · On-site

$225K - $325K/yr

... neural models on GPU/accelerator clusters. * Solid understanding of audio and speech fundamentals spectrograms, mel features, vocoders, codec-based representations, and signal processing.

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

Senior ML/Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

Digital Design Engineer

San Diego, CA · On-site

$190K - $240K/yr

Develop low-power audio signal processing architectures. Qualifications, Education, and Experience ... neural network processors. Syntiant also provides compute-efficient software solutions with ...

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Showing results 1-20

Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What are the key skills and qualifications needed to thrive as a Neural Signal Processing specialist, and why are they important?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What job categories do people searching Neural Signal Processing jobs in California look for? The top searched job categories for Neural Signal Processing jobs in California are:
What cities in California are hiring for Neural Signal Processing jobs? Cities in California with the most Neural Signal Processing job openings:
Infographic showing various Neural Signal Processing job openings in California as of June 2026, with employment types broken down into 6% Full Time, 82% Part Time, 6% Temporary, and 6% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.
Sr Engineer, AI (ECG)

Sr Engineer, AI (ECG)

Masimo

Irvine, CA • On-site

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description


Job Summary:
The Senior AI Engineer - ECG is a senior-level individual contributor responsible for architecting, developing, validating, and optimizing advanced AI ECG-based algorithms for Masimo's non-invasive medical device platforms.
This role provides technical leadership in the design and deployment of robust, real-time cardiac monitoring algorithms across the full product lifecycle - from early feasibility and system architecture through embedded implementation, verification, regulatory submission, and post-market optimization. This role drives innovation in ECG-based measurement, including heart rate, rhythm analysis, and advanced cardiac insights, translating complex physiological signals into clinically actionable outputs.
Please note this is an onsite position at our Irvine, CA. office.
Duties & Responsibilities:
  • Design and develop AI and ML models to solve complex problems in ECG
  • Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
  • Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG morphology analysis
  • Design, train and evaluate machine learning models using large datasets in the cloud
  • Prototype new ideas/technologies to create proof of concept and demos
  • Contribute to the organization's strong drive to be on the cutting edge of technology through the generation of patentable ideas
  • Work with cross-functional teams in the R&D group, including hardware and software engineers
  • Effectively communicate with engineering and marketing teams
  • Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
  • Carry out statistical analysis of clinical data
  • Deliver high quality software design, documentation and implementation
  • Performs other duties as assigned

Minimum Qualifications:
  • Deep expertise in ECG signal processing, digital signal processing, and statistical modeling
  • Proven experience developing ECG algorithms, including waveform detection and cardiac feature extraction
  • At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry
  • Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
  • Expertise in data analysis and data mining
  • Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
  • Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
  • Familiarity with DSP architecture and embedded systems
  • Exposure to DSP Programming
  • Excellent conceptual, analytical, and problem-solving abilities
  • Ability to excel in a fast-paced and dynamic work environment
  • Excellent verbal and written communication skills

Preferred Qualifications:
  • Experience with arrhythmia detection/classification algorithms or cardiac monitoring systems
  • Knowledge of cardiac physiology and electrophysiology principles
  • Experience applying machine learning techniques to ECG or time-series physiological data
  • Familiarity with wearable or ambulatory ECG systems and associated signal challenges
  • Experience supporting regulatory submissions (e.g., FDA 510(k), CE Mark)
  • Prior contributions to patents, publications, or clinically validated products

Education:
M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required
Compensation + Benefits: The anticipated range for this position is $140,000 - $170,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Café. All benefits are subject to eligibility requirements.

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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

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