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Neural Engineering Jobs in California (NOW HIRING)

Oura

Senior Algorithm Scientist

San Diego, CA

$97K - $132K/yr

PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced ...

Ōura

Senior Algorithm Scientist

San Diego, CA · On-site +1

$97K - $132K/yr

PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA

$114K - $156K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced ...

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How much do neural engineering jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for neural engineering in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in California? The most popular types of Neural Engineering jobs in California are:
What are popular job titles related to Neural Engineering jobs in California? For Neural Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in California look for? The top searched job categories for Neural Engineering jobs in California are:
What cities in California are hiring for Neural Engineering jobs? Cities in California with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in California as of August 2026, with employment types broken down into 6% Internship, 77% Full Time, and 17% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

Senior Algorithm Scientist

Oura

San Diego, CA

$97K - $132K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

What you will do: 

  • Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
  • Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
  • Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes
  • Develop and maintain internal signal evaluation tools and libraries to help Oura's hardware and firmware teams optimize current and next-generation products
  • Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
  • Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
  • Coordinate with cross-functional teams and overseas stakeholders

Requirements

We would love to have you on our team if you have:

  • PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, 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 and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc) 
  • Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus
  • A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
  • Flexible schedule and good asynchronous communication skills to work with Oura's Finnish teams (early morning meetings two to three times a week)
  • This role is based in San Diego, with at least three days in office (at our Carmel Mountain location).

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own plus employee discounts for friends & family
  • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
  • Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

  • Region 2: $158,950 - $187,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

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