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Brain Computer Interface Jobs in Fremont, CA (NOW HIRING)

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 Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

Senior Recruiter

San Francisco, CA · On-site

$120K - $200K/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 ...

Lead Sensor Engineer

Palo Alto, CA · 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 ...

Test Engineer

Mountain View, CA · On-site

$120K - $140K/yr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

Test Engineer

Mountain View, CA · On-site

$120K - $140K/yr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

Software Engineer

San Francisco, CA · On-site

$140K - $200K/yr

You will be powering work allowing for neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces. You might be ...

Excitement about AI, neuroscience, brain-computer interfaces, or other frontier technologies. * Willingness to work from our San Francisco office five days per week. Experience supporting a founder ...

Chief Financial Officer

Palo Alto, CA · On-site

$240 - $300/hr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

Showing results 41-60

Brain Computer Interface information

See Fremont, CA salary details

$12

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How much do brain computer interface jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for brain computer interface in Fremont, CA is $60.14, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.41 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 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 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 the most commonly searched types of Brain Computer Interface jobs in Fremont, CA? The most popular types of Brain Computer Interface jobs in Fremont, CA are:
What are popular job titles related to Brain Computer Interface jobs in Fremont, CA? For Brain Computer Interface jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Brain Computer Interface jobs in Fremont, CA look for? The top searched job categories for Brain Computer Interface jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Brain Computer Interface jobs? Cities near Fremont, CA with the most Brain Computer Interface job openings:
Infographic showing various Brain Computer Interface job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $125,083 per year, or $60.1 per hour.

Senior Electrical Engineer

OSI Engineering, Inc.

Palo Alto, CA • On-site

$225K - $250K/yr

Other

Re-posted 2 days ago


Job description

Senior Electric Engineer

You’ll own the electrical engineering team for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup building an AI-powered neural interface platform. In this role, you will own the wearable electrical architecture from schematic through production, helping bring a highly integrated next-generation device to market. The platform combines cameras, spatial audio microphones, EEG sensors, Wi-Fi/BLE connectivity, and advanced power management on a flex PCB embedded within a textile beanie, requiring deep expertise in compact wearable system design, signal integrity, and production-ready hardware development.

What You’ll Do

  • Own the electrical architecture across the platform — compute partitioning, sensor integration, power, RF, and SI/PI.
  • Lead schematic and PCB design for flex and rigid-flex multi-island layouts, and own SI/PI sign-off across every revision.
  • Architect the power tree — battery management, multi-rail regulation, USB-C charging, and dynamic power budgeting.
  • Own RF and wireless electrical design — antenna diversity, body-proximity tuning, and Wi-Fi/BLE coexistence.
  • Define and validate every communication bus on the platform — parallel and serial sensor interfaces, audio buses, inter-MCU links.
  • Drive part selection, benchmarking, and BOM ownership across MCUs, PMICs, RF SoCs, and the full electrical BOM, with second-source strategy.
  • Lead bring-up at the electrical layer — own SI, PI, power, and bus-level debug, and unblock firmware and subsystem leads on the way.
  • Drive the design through DFM and qualification gates with our CMs, and ship the product by end of year.
  • Build and lead the EE team as we scale from early test batches to production volumes.

Responsibilities:

  • 10+ years designing complex consumer hardware, with at least one shipped product (wearable, audio, mobile, or comparable).
  • Deep mixed-signal expertise across MCU systems, sensor AFEs, audio DSPs, image sensor interfaces, RF/wireless, and battery/charging.
  • Strong SI/PI discipline with hands-on sign-off on flex and rigid-flex multi-island designs.
  • Direct experience architecting and validating multi-MCU communication buses — parallel and serial interfaces, inter-processor links.
  • Direct experience driving part selection, BOM ownership, and second-source strategy on a shipped product.
  • Track record of leading hardware bring-up and partnering closely with firmware on debug.
  • Comfortable owning overseas CM relationships and driving DFM, DFT, and DFA from prototype through volume.

Preferred Skills:

  • EEG, ECoG, or other biopotential systems — especially high-channel-count or dense sensor arrays.
  • Integrating low-power AI accelerator silicon into mixed-signal systems.
  • Custom ASIC bring-up, silicon co-design, or in-array readout architectures.
  • RF design for body-worn antennas and multi-radio coexistence.
  • Founding engineer or lead-level experience at an early-stage hardware company.

Diane Chen

x130

Type: Fulltime

Location: Palo Alto, CA (Hybrid Schedule)

Salary Range: $225k - $250k/y (DOE)