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Neural Signal Processing Jobs in California (NOW HIRING)

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

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 ...

You will apply AI/ML-driven approaches alongside classical signal processing methods to push the ... neural network-based signal detection, or ML-assisted simulation data analysis. Proficiency with ...

Senior Algorithm Scientist

San Francisco, CA

$107K - $147K/yr

... neural engineering or a related field * 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc) * Experience with signal processing methods ...

Senior Algorithm Scientist

San Diego, CA

$97K - $132K/yr

... neural engineering or a related field * 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc) * Experience with signal processing methods ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... signal processing * Firsthand experience with a variety of learning approaches (supervised, unsupervised, reinforcement, etc.) and neural network architectures (convolutional, fully-connected ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... signal processing * Firsthand experience with a variety of learning approaches (supervised, unsupervised, reinforcement, etc.) and neural network architectures (convolutional, fully-connected ...

... neural networks. Experience with cutting edge computer vision and machine learning research trends and models. Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF ...

You will apply AI/ML-driven approaches alongside classical signal processing methods to push the ... neural network-based signal detection, or ML-assisted simulation data analysis. Proficiency with ...

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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.
Digital Design Engineer

Digital Design Engineer

Syntiant

San Diego, CA

$190K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Summary Description:

Syntiant Corp., is a leader in the high-growth AI software and semiconductor solutions space. We are seeking a lead Digital Design Engineer who will be designing the digital systems and building blocks for MEMS microphones. Together with the analog/mixed-signal designers, test development engineers and other team members, you will be developing high-performance, low-power ASICs from concept to high-volume production.

Requirements

Specific Duties and Responsibilities:

  • Develop the digital architecture including audio signal path (DSP) and analog-digital interface with the project team.
  • Build complex functional and behavioral models of the systems using Matlab/Simulink, Verilog-AMS, etc.
  • Perform RTL design, synthesis, timing closure, scan pattern generation, power optimization and supervise the RTL-to-GDS flow.
  • Define the digital verification plan.
  • Verify the digital system and blocks in collaboration with the digital verification engineer.
  • Develop low-power audio signal processing architectures.

Qualifications, Education, and Experience Required:

  • Advanced Degree in electronic engineering or related field.
  • 8+ years of proven track record in developing digital blocks/systems for high-performance mixed-signal integrated circuits in a consumer or industrial R&D environment.
  • Good understanding of the entire digital design flow and DFT.
  • Experience with Digital Signal Processing (DSP) implementations
  • Hands-on experience in designing low-power digital circuits.
  • Good understanding of most common concepts and metrics used in analog/mixed signal design (Sampling, Quantization, FFT, SNR, THD, etc.)
  • Experience with sigma delta ADCs or audio signal processing.
  • Understanding of the most common limitations and issues of analog circuits (offset, gain error, distortion, etc.) is an advantage.
  • Knowledge in EDA tools such as Cadence Digital EDA suite (Genus, Tempus, Jasper, Voltus, Modus, Conformal etc.) is an advantage.
  • Solid knowledge of Matlab/Simulink environment.
  • Structured and methodological approach.
  • Strong team player.
  • Good spoken and written communication skills in English.

Benefits

Benefits Summary:

  • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family. 
  • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia. 
  • Vision: Company-paid vision PPO coverage from MetLife / VSP. 
  • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family. 
  • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection. 
  • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan. 
  • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck. 
  • Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection.

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $190,000 - $240,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.