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Neural Signal Processing Jobs in California (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA

$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 ...

NextSense

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 ...

Syntiant

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 ...

Syntiant

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 ...

Syntiant

Digital Design Engineer

San Diego, CA

$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 ...

David AI

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

Experience training large neural network models in academic or industry settings. * Expertise in audio signal processing both classical and machine learning techniques. * Experience in publishing in ...

Apple

Wireless PHY Systems Engineer

San Diego, CA · On-site

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 ...

Oura

Senior Algorithm Scientist

San Diego, CA · On-site

$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 ...

Oura

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 ...

EE Recruiters

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 ...

EE Recruiters

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 ...

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All JobsNeural Signal Processing JobsNeural Signal Processing Jobs in California

Neural Signal Processing information

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 are the key skills and qualifications needed to thrive as a neural signal processing specialist?

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 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 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 popular job titles related to Neural Signal Processing jobs in California?

For Neural Signal Processing jobs in California, the most frequently searched job titles are:

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:

Neural Signal Processing jobs near you
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 IC Design Engineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Internship

Re-posted 28 days ago

Job description

Team Description:

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.

Job Description and Responsibilities:

We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:

  • Micro-architecture design and RTL implementation of: 
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and implementation of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing energy efficiency and performance under manufacturing process variation 
  • Complex system-on-chip verification
    • Behavioral level modeling and model equivalence check
    • FPGA emulation
    • Analog mixed-signal co-simulation
    • Design for testability 
  • Collaboration on silicon bring-up tests with silicon validation engineers 

Required Qualifications:

  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • 2+ years of experience in digital design
  • Proficient in SystemVerilog, C/C++, Python
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications:

  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++, or UVM 
  • Experience automating tool flows
  • Experience with embedded design
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization
  • Experience designing PCBs or writing firmware.

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

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