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Neural Interface Engineer Jobs in California (NOW HIRING)

... datasets and supporting neural decoding technology alongside world-class researchers ... interfaces Qualifications : Required : • 5+ years of production software engineering experience ...

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we can't reveal too much just yet, our team is tackling cutting-edge engineering challenges ... neural interfaces. * Hands-on experience with consumer wearables or custom hardware. * Knowledge of ...

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we can't reveal too much just yet, our team is tackling cutting‑edge engineering challenges ... or neural interfaces. * Hands‑on experience with consumer wearables or custom hardware.

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Software Engineer, Simulation

Hawthorne, CA

$145K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Machine Learning System Software Engineer

Sunnyvale, CA · On-site

$203K - $240K/yr

As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work ... defining interfaces that are used by other teams or external developers, with attention to ...

Showing results 41-60

Neural Interface Engineer information

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

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Infographic showing various Neural Interface Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Zyphra is an artificial intelligence company based in San Francisco, California.The Role:

As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.

You’ll Work Across:
  • Large-scale EEG model training runs and evaluation

  • Architecture and training methodology ablations and innovations

  • Dataset collection and preprocessing for EEG and other BCI modalities

  • Performance optimization of the training stack

  • Integration of models into real-world BCI applications

What We're Looking For / Requirements:
  • Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module

  • Excellent communication and collaboration skills, with clean and concise coding practices

  • Strong implementation and prototyping skills, with comfort working across both research and engineering at scale

  • Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain

  • Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space

  • Proficiency with PyTorch and Python

Qualifications / Additional Skills:
  • Experience with VAEs, GANs, diffusion models, and contrastive learning

  • Familiarity with signal processing (especially for EEG) and time-series analysis

  • Experience training on large-scale (multi-node) GPU clusters

  • Experience contributing to large existing codebases and ramping up quickly

  • Previously published machine learning research in well-respected venues

Why Work at Zyphra:
  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:
  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment