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Brain Computer Interface Engineer Jobs in California

Lead Sensor Engineer

Palo Alto, CA ยท On-site

$300K - $400K/yr

Lead Sensors Engineer / Sensor Architect You'll own sensor architecture and sensing system development for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup ...

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... Our team consists of scientists and engineers, working closely together to define the engineering ...

UI Engineer

San Jose, CA ยท On-site

$121K - $162K/yr

Company Description We are seeking a web UI engineer who can design and implement user interfaces ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Scientist - Synthetic Biology

San Francisco, CA ยท On-site

$120K - $165K/yr

About the team Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic ...

PCB Layout Engineer

Santa Clara, CA ยท On-site

$100 - $125/hr

PCB Layout Engineer Job type: Full Time ยท Department: Electronics ยท Work type: On-Site ยท USD 100 ... brain-computer interface (BCI) to heal and empower millions of people living with neurological ...

UI Engineer

San Jose, CA ยท On-site

$121K - $162K/yr

Job Summary : Netpace Inc is seeking a talented UI Engineer to join Cisco's Customer Experience ... MS in Computer Science, Engineering, or related field, or BS/MS plus equivalent software ...

UI Engineer

San Jose, CA ยท On-site

$121K - $162K/yr

Company Description We are seeking a web UI engineer who can design and implement user interfaces ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

... Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in accelerating engineering innovation by producing high-precision robot parts, surgical components, executing small ...

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... This group collaborates extensively with wet-lab scientists, automation engineers, and data ...

Senior Firmware Engineer

Palo Alto, CA ยท On-site

$75 - $95/hr

Senior Firmware Engineer Company Overview Company is developing a next-generation AI wearable that ... The company is focused on advancing noninvasive brain-computer interface (BCI) technology, enabling ...

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... and engineering. We are responsible for executing and enabling in vivo studies across multiple ...

... brain computer interface and agentic systems from initial discovery through deployment and ... Collaborating closely with the GTM team, researchers, and engineers to align external technical ...

Showing results 41-60

Brain Computer Interface Engineer information

What is a brain computer interface engineer?

Brain Computer Interface (BCI) Engineers are professionals who design, develop, and optimize systems that facilitate direct communication between the human brain and external devices. They work at the intersection of neuroscience, engineering, and computer science to create technologies that can interpret neural signals and translate them into commands for computers or prosthetic devices. Their work supports applications such as assistive technology for people with disabilities, neuroprosthetics, and advanced human-computer interaction. BCI Engineers often collaborate with neuroscientists, software developers, and hardware designers to build safe, effective, and innovative solutions. The field is rapidly evolving and requires a strong foundation in signal processing, machine learning, and biomedical engineering.

What are the key skills and qualifications needed to thrive as a brain computer interface engineer?

To thrive as a Brain Computer Interface Engineer, you need a strong background in neuroscience, signal processing, programming (such as Python, MATLAB, or C++), and typically a degree in engineering, computer science, or a related field. Familiarity with EEG/MEG systems, brain signal acquisition hardware, and machine learning frameworks is commonly required, along with relevant certifications or research experience. Exceptional problem-solving abilities, creativity, and effective teamwork skills are crucial for advancing novel technologies in interdisciplinary environments. These skills and qualities are vital for developing reliable, user-friendly BCI solutions that bridge neuroscience and technology.

What are some typical challenges a brain computer interface engineer faces when integrating hardware and software components?

Brain Computer Interface (BCI) Engineers often encounter challenges related to signal noise, latency, and ensuring seamless communication between neural sensors and computer systems. Integrating hardware such as EEG or implantable devices with real-time software processing requires precise calibration and robust error handling. Collaborating closely with neuroscientists, clinicians, and software developers is essential to address these technical hurdles and to ensure that the BCI system is both reliable and user-friendly.

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

AspectBrain Computer Interface EngineerNeural Engineer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Neural Engineering, or related fields
Work EnvironmentResearch labs, tech companies, healthcare institutionsResearch labs, medical device companies, healthcare settings
Industry UsageDeveloping BCI devices, signal processing, hardware/software integrationDesigning neural interfaces, neuroprosthetics, neural signal analysis

While both roles require similar educational backgrounds and work in related environments, Brain Computer Interface Engineers focus on developing and implementing BCI systems, whereas Neural Engineers work on broader neural interface technologies and neuroprosthetics. The roles often overlap but differ in specific project focus and application areas.

Infographic showing various Brain Computer Interface Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Lead Sensor Engineer

Palo Alto, CA โ€ข On-site

OSI Engineering, Inc.
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

$300K - $400K/yr

Other

Re-posted yesterday


Key responsibilities

  • Own the development and integration of non-EEG sensing architecture, including optical, inertial, temperature, and environmental sensing systems.

  • Lead the design, development, and validation of PPG systems and multimodal sensor fusion strategies for reliable sensing inputs.

  • Collaborate with cross-disciplinary teams to deliver an integrated sensing platform and ensure production readiness.


Job description

Lead Sensors Engineer / Sensor Architect
Youโ€™ll own sensor architecture and sensing system development for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup building an AI-powered neural interface platform. In this role, you will lead the development of the wearable sensing stack, with primary ownership of PPG (Photoplethysmography), optical sensing, heart-rate and HRV estimation, and multimodal sensor fusion. You will help bring a next-generation wearable to market by combining optical, inertial, temperature, and environmental sensing systems into a highly integrated AI companion platform.
The product is a sensor-rich textile wearable that combines EEG, physiological sensing, environmental awareness, and AI-driven personalization. This role requires deep expertise in wearable sensing systems, signal processing, sensor integration, and production-ready consumer hardware development.
What You''''ll Do

  • Own the non-EEG sensing architecture across the platform, including optical, inertial, temperature, and environmental sensing systems.
  • Lead PPG system development from architecture through production, including sensor selection, optical front-end design, skin interface development, and motion-robust heart-rate and HRV algorithms.
  • Define and evaluate the complete sensor suite, including
    • PPG and optical sensing
    • Accelerometers and gyroscopes
    • Body temperature sensing
  • Environmental sensing including humidity, light, ambient temperature, and barometric pressure
  • Own sensor selection, benchmarking, BOM strategy, and second-source planning across the sensing platform.
  • Develop signal conditioning, calibration, characterization, and validation methodologies across all sensing systems.
  • Architect sensor-fusion strategies that combine multiple sensing streams into reliable inputs for the AI platform.
  • Partner closely with Electrical Engineering, Firmware Engineering, Product Design, Reliability, and AI/ML teams to deliver an integrated sensing platform.
  • Define sensor electrical, mechanical, and firmware interfaces, including synchronization and cross-sensor timestamping requirements.
  • Drive technical reviews, design documentation, validation plans, and production readiness activities.
  • Work directly with external engineering teams and manufacturing partners while maintaining ownership and accountability for delivered sensing solutions.
  • Help build and scale the sensing organization as the company grows.


Responsibilities:

  • 10+ years developing sensors or wearable hardware systems, with at least one shipped product where you owned a sensing subsystem end-to-end.
  • Deep expertise in PPG (Photoplethysmography), optical sensing, and heart-rate/HRV algorithm development.
  • Strong background in sensor architecture, integration, calibration, characterization, and validation.
  • Experience selecting, benchmarking, and owning sensor BOM decisions, including second-source strategy.
  • Experience integrating sensors into wearable or consumer hardware products.
  • Hands-on laboratory experience with oscilloscopes, logic analyzers, and hardware debugging tools.
  • Track record of partnering closely with electrical, firmware, mechanical, and manufacturing teams.
  • Strong system-level ownership and ability to drive architecture, integration, validation, and production readiness.


Preferred Skills:

  • Multimodal sensor fusion across optical, inertial, and temperature sensing systems.
  • Activity sensing, gesture recognition, context classification, and orientation estimation.
  • Additional physiological sensing technologies such as SpO?, ECG, EDA, or EMG.
  • Body-temperature sensing, thermal modeling, calibration, and ambient compensation.
  • Knowledge of human physiology, biomechanics, and wearable sensing applications.
  • Biocompatible skin-contact sensing systems.
  • Always-on, ultra-low-power sensing architectures.
  • Founding engineer, lead engineer, principal engineer, or sensor architect experience within consumer hardware or wearable organizations.
  • Experience building or scaling sensor teams in fast-moving startup environments.

Type: Fulltime
Location: Palo Alto, CA (Hybrid Schedule)
Salary Range: $300k - $400k/y (DOE)