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Brain Computer Interface Jobs in San Jose, CA (NOW HIRING)

Staff Neuroscientist

Santa Clara, CA · On-site

$140 - $230/hr

About Precision Neuroscience Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our first ...

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems ...

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

PCB Layout Engineer

Santa Clara, CA · On-site

$100 - $125/hr

On-Site · USD 100,000-125,000 / year Santa Clara, California, United States ABOUT PRECISION NEUROSCIENCE Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal ...

New

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Research Associate

San Francisco, CA · On-site

$70 - $100/hr

We're pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe ...

New

Research Associate

San Francisco, CA · On-site

$95K - $120K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Showing results 21-40

Brain Computer Interface information

See San Jose, CA salary details

$13

$64

$91

How much do brain computer interface jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for brain computer interface in San Jose, CA is $64.38, according to ZipRecruiter salary data. Most workers in this role earn between $56.35 and $73.27 per hour, depending on experience, location, and employer.

What is a brain computer interface?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are the key skills and qualifications needed to thrive in the brain computer interface position?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are some common challenges faced by professionals working in brain computer interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

What are popular job titles related to Brain Computer Interface jobs in San Jose, CA?

For Brain Computer Interface jobs in San Jose, CA, the most frequently searched job titles are:

What cities near San Jose, CA are hiring for Brain Computer Interface jobs?

Cities near San Jose, CA with the most Brain Computer Interface job openings:

Infographic showing various Brain Computer Interface job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $133,918 per year, or $64.4 per hour.

Senior Sensors Engineer

OSI Engineering, Inc.

Palo Alto, CA • On-site

$75 - $95/hr

Other

Re-posted 17 days ago


Job description

Senior Sensors Engineer (Contract)

Company Overview

Sabi is developing a next-generation AI wearable that combines ultra-high-density neural sensing with a Brain Foundation Model to decode neural signals and convert thought into text without surgery. The company is focused on advancing noninvasive brain-computer interface (BCI) technology through an EEG-powered wearable platform.

Position Summary

This person will own the end-to-end non-EEG sensor architecture, hardware, and algorithms for a sensor-rich wearable platform. The primary focus is PPG sensing systems, including optical hardware, heart rate, HRV algorithms, and sensor fusion across multiple sensing modalities. This is a highly visible leadership role reporting into the Head of Hardware and working closely with the CEO and CTO.

Key Requirements

• 10+ years of sensor or wearable hardware development experience.
• Deep expertise with PPG sensor systems (highest-priority skill set).
• Experience owning a sensing system from architecture through product launch.
• Strong analog front-end design experience.
• Experience with sensor selection, validation, calibration, characterization, and BOM ownership.
• Experience with heart rate and HRV algorithms in real-world wearable environments.
• Experience integrating multiple sensor modalities including optical, inertial, temperature, and environmental sensing.
• Strong cross-functional experience partnering with EE, Firmware, Mechanical Engineering, and Product Design teams.
• Comfortable working hands-on in the lab and collaborating with overseas CMs.

Preferred Background

• Sensor Systems Architect experience.
• SpO2, ECG, EDA, EMG, or additional health-sensing experience.
• Sensor fusion and multimodal sensing expertise.
• Human physiology or biomechanics knowledge.
• Consumer wearable startup or founding engineer experience.
• Experience leading sensor teams and subsystem development.

Location: Palo Alto, CA (Hybrid Schedule, 2 days/week in office)
Duration: 12-month contract with extension/conversion possibilities
Pay Rate Range: $75 to $95/h (DOE)