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Brain Computer Interface Product Manager Jobs (NOW HIRING)

Neuralink

Digital IC Design Engineer

Austin, TX

$134K/yr

... brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML ...

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 ... Summary We are seeking an experienced Lab Manager to serve as the backbone of our hardware ...

Brain Corp

Senior Product Manager

San Diego, CA · On-site

$134K - $177K/yr

Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf ... computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels ...

Brain Corp

Senior Product Manager

San Diego, CA

$134K - $177K/yr

Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf ... computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels ...

Kandu Health

Regional Sales Manager-Texas

Van Nuys, CA · On-site +1

$80K - $120K/yr

... brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device ... Provide reps with the tools, messaging, and product knowledge necessary to represent Kandu ...

Paradromics

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... Clear written documentation skills with the ability to accurately record production information and ...

Paradromics, Inc.

Network Engineer

Austin, TX · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... Manage firewalls, switches, routers, and network security systems. * Lead modernization initiatives ...

Paradromics

Network Engineer

Austin, TX · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... Manage firewalls, switches, routers, and network security systems. * Lead modernization initiatives ...

Kandu Health

Regional Sales Manager-Midwest

Van Nuys, CA · On-site +1

$80K - $120K/yr

... brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device ... Provide reps with the tools, messaging, and product knowledge necessary to represent Kandu ...

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Brain Computer Interface Product Manager information

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$51.5K

$159.4K

$197K

How much do brain computer interface product manager jobs pay per year?

As of Jun 6, 2026, the average yearly pay for brain computer interface product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a Brain Computer Interface (BCI) Product Manager do?

A Brain Computer Interface (BCI) Product Manager oversees the development, launch, and lifecycle of products that facilitate direct communication between the brain and external devices. They work closely with engineering, neuroscience, design, and marketing teams to define product requirements, create roadmaps, and ensure the product meets both user needs and regulatory standards. Their responsibilities also include conducting market research, gathering user feedback, and prioritizing features to align with business goals. Ultimately, they bridge the gap between technical teams and stakeholders to deliver innovative BCI solutions.

What are some unique challenges faced by Brain Computer Interface Product Managers during product development?

Brain Computer Interface (BCI) Product Managers often navigate unique challenges such as bridging the gap between advanced neuroscience research and practical, user-friendly products. They must coordinate interdisciplinary teams including neuroscientists, engineers, and UX designers, ensuring clear communication and alignment of goals. Regulatory compliance and ethical considerations are also critical, given the sensitive nature of brain data. Additionally, BCI Product Managers need to stay updated on rapid technological advancements to maintain a competitive edge and ensure product viability.

What are the key skills and qualifications needed to thrive as a Brain Computer Interface Product Manager, and why are they important?

To thrive as a Brain Computer Interface (BCI) Product Manager, you need a strong background in neuroscience, engineering, or computer science, coupled with experience in product management and knowledge of BCI technologies. Familiarity with technical tools such as brain signal acquisition systems, machine learning platforms, and regulatory compliance processes is typically required. Exceptional communication, problem-solving, and cross-functional leadership skills help bridge the gap between technical teams, clinicians, and end-users. These skills are crucial for guiding innovative BCI products from concept to market while ensuring they meet user needs and regulatory standards.
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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