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Brain Computer Interface Jobs in California (NOW HIRING)

Subsense

Research Engineer

Palo Alto, 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 ...

Subsense

Research Scientist in Neuroscience

Palo Alto, CA · On-site

$115K - $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 ...

Echo Neurotechnologies

Lab Manager

San Francisco, CA · On-site

$120K - $170K/yr

Company Overview Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces. Key Responsibilities * Research & Model Development:

Alljoined

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 ...

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How much do brain computer interface jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for brain computer interface in California is $54.22, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $61.68 per hour, depending on experience, location, and employer.

What is a Brain Computer Interface job?

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, and why are they important?

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 California? The most popular types of Brain Computer Interface jobs in California are:
What are popular job titles related to Brain Computer Interface jobs in California? For Brain Computer Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Brain Computer Interface jobs in California look for? The top searched job categories for Brain Computer Interface jobs in California are:
What cities in California are hiring for Brain Computer Interface jobs? Cities in California with the most Brain Computer Interface job openings:
Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface job openings in California as of May 2026, with employment types broken down into 52% Full Time, 42% Part Time, 3% Temporary, and 3% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $112,769 per year, or $54.2 per hour.
Head of Embedded Firmware

Head of Embedded Firmware

OSI Engineering, Inc.

Palo Alto, CA

$300K - $400K/yr

Other

Posted 16 days ago

Job description

Lead Embedded Firmware Engineer

You will lead the firmware architecture and development for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup building an AI-powered neural interface platform. This role owns the distributed-compute firmware ecosystem powering media and connectivity, biosignal acquisition, and always-on MCUs responsible for power management, privacy, and thermal control. The platform is redefining the future of human communication and human-computer interaction through tightly integrated wearable hardware, low-power embedded systems, and real-time intelligent processing.

  • Lead/Architect firmware across the distributed-compute platform: RTOS choice, task structure, inter-processor protocols, OTA, and time sync.
  • Own the runtime that hosts every subsystem, audio DSP, camera capture pipeline, biopotential acquisition, through specified interfaces with each subsystem lead.
  • Own the media and connectivity MCU pipeline, camera capture, audio runtime, wake-word, Wi-Fi streaming, and onboard logging, concurrently within strict CPU and memory budgets.
  • Drive low-power firmware on the always-on MCU: state machines for standby, assist, and continuous modes; hardware-enforced privacy; thermal throttling.
  • Build the multi-MCU time-sync layer that lets us correlate EEG, audio, and camera data downstream.
  • Establish the firmware engineering practices that scale: build and release pipelines, on-device telemetry, automated test, OTA with safe rollback, field debug tooling.
  • Partner with the EE lead on hardware bring-up and boot path; with the reliability lead on field telemetry, error handling, and diagnostic surfaces.
  • Bring up ASICs in collaboration with the EE and silicon teams
  • Ship the product by the end of year and build and lead the firmware team as we scale to production.


Responsibilities:

  • 10+ years of embedded firmware engineering, with at least one shipped consumer product where you owned firmware architecture end-to-end.
  • Deep expertise across embedded RTOSes and bare-metal ARM Cortex-M, with familiarity across at least two ecosystems (e.g., Zephyr, FreeRTOS, ESP-IDF, ThreadX, NuttX).
  • Hands-on experience hosting real-time DSP runtimes alongside wireless connectivity on resource-constrained MCUs — integrating algorithms owned by other teams.
  • Strong background in multi-radio coexistence (Wi-Fi + BLE), low-power state-machine design, and OTA with safe rollback.
  • Comfortable in the lab with JTAG/SWD, logic analyzers, and protocol sniffers — able to drive bring-up from first power-on through end-to-end functional demos.

Preferred Skills:

  • Deploying neural network inference to low-power MCUs or dedicated AI accelerators — model conversion, quantization, runtime integration.
  • Familiarity with on-device inference frameworks and edge AI runtimes.
  • Custom AI accelerator silicon, neuromorphic compute, or in-memory-compute platforms.
  • On-device wake-word or always-on voice activation engines.
  • Integrating biopotential acquisition over standard sensor buses.

Type: Fulltime

Location: Palo Alto, CA (Hybrid Schedule)

Salary Range: $300k - $400k/y (DOE)

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