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Brain Machine Interface Jobs in Berkeley, CA (NOW HIRING)

... brain-computer interfaces and neural signal processing, or agentic AI systems * A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional ...

Product Engineer

San Francisco, CA ยท On-site

$180K - $280K/yr

We're a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier ... Build polished, reliable user interfaces on top of our frontier models * Rapidly prototype and ...

Automation Engineer

San Francisco, CA ยท On-site

$165K - $260K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... data science and machine learning pipelines. We come up with creative approaches to greatly ...

IT Systems Engineer

San Francisco, CA ยท On-site

$120K - $215K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... machines * Manage SaaS contracts, licenses, renewals, and vendor relationships, and build a ...

Your mission is to build the "machine that builds the machine." We are looking for a systems ... interfaces, and cloud services. You'll ensure the "brain" of our hardware is as elegant as its ...

Your mission is to build the "machine that builds the machine." We are looking for a systems ... interfaces, and cloud services. You'll ensure the "brain" of our hardware is as elegant as its ...

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical ...

... machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain ... The work leans backend and infra, but nothing is off limits: when the product needs a better UI you ...

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Brain Machine Interface information

See Berkeley, CA salary details

$17

$27

$37

How much do brain machine interface jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for brain machine interface in Berkeley, CA is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $31.20 per hour, depending on experience, location, and employer.

What are the career paths in neurolinguistics?

Career paths in neurolinguistics include roles such as research scientist, clinical neuropsychologist, speech-language pathologist, and cognitive neuroscientist. These positions often require advanced degrees like a master's or Ph.D., along with skills in neuroimaging, data analysis, and understanding of language processing in the brain.

Is there a high demand for neuroscientists?

Neuroscientists, including those working on brain-machine interfaces, are in increasing demand due to advancements in neurotechnology and the growing need for research in neural disorders and brain-computer communication. Employment opportunities are expected to grow as interdisciplinary skills in neuroscience, engineering, and data analysis become more valuable in both academia and industry. Certifications in neuroimaging or programming can enhance job prospects in this field.

What are the typical daily responsibilities of someone working in a Brain Machine Interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the Brain Machine Interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

Are BCIs the future?

Brain Machine Interface (BMI) technology is advancing rapidly, with applications in medical rehabilitation, neuroprosthetics, and human-computer interaction. As research progresses, BCIs are expected to become more integrated into healthcare and consumer devices, potentially transforming how humans interact with technology in the future.

What jobs can I get with HCI?

With expertise in Human-Computer Interaction (HCI), you can pursue roles such as UX designer, usability analyst, interaction designer, or research scientist. These jobs often require skills in user-centered design, prototyping tools, and understanding of cognitive psychology or ergonomics.

What is a Brain Machine Interface job?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the most commonly searched types of Brain Machine Interface jobs in Berkeley, CA? The most popular types of Brain Machine Interface jobs in Berkeley, CA are:
What are popular job titles related to Brain Machine Interface jobs in Berkeley, CA? For Brain Machine Interface jobs in Berkeley, CA, the most frequently searched job titles are:
What cities near Berkeley, CA are hiring for Brain Machine Interface jobs? Cities near Berkeley, CA with the most Brain Machine Interface job openings:
Infographic showing various Brain Machine Interface job openings in Berkeley, CA as of July 2026, with employment types broken down into 6% As Needed, 61% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,122 per year, or $27.9 per hour.
Full-Stack Engineering Intern

Full-Stack Engineering Intern

Dryft, Inc

San Francisco, CA โ€ข On-site

Full-time

Posted 12 days ago


Job description

DRYFT
Dryft builds intelligent systems that automate complex human decisions in manufacturing operations
We're a small, talent-dense team with modest roots and a love for the physical world - cars, machines, planes. Our team includes graduates from Stanford, Berkeley, MIT, TUM, winners of Stanford TreeHacks, and builders of everything from robots and race cars to software with millions of downloads.
We're backed by the founders and leaders behind Amazon, Facebook, Stripe, Applied Intuition, & others; General Catalyst & Neo, and board members of global industrial companies.
We're a no-bullshit, direct-feedback kind of team. People come to Dryft because they want to grow fast, with real responsibility.
THE ROLE
As a Fullstack Engineering Intern, you'll be the brain behind Dryft's decision intelligence. You'll build scalable systems that combine agent-based reasoning with mathematical optimization and simulation on top of large-scale industrial data.
You will work autonomously on your own dedicated projects, often directly with the customer while receiving mentorship from senior engineers that work directly with you. Our early engineers were prior founding/early engineers at venture-backed startups in SF.
YOU
  • Like building scalable, interpretable, data-driven agents from all perspectives - algorithms, architecture and infrastructure.
  • Have a strong product sense and enjoy working directly with customers daily
  • Have shipped production code end-to-end, are strong in backend & infra and comfortable shipping basic frontend features.
  • Are ready to work onsite in SF (we support visa)

TECH STACK
  • FE (TypeScript): React, Chakra UI v3, TanStack Router, TanStack Query, Vite
  • BE (Python): FastAPI with Pydantic v2, SQLModel, Postgres with pgvector, dagster
  • AI: Pydantic AI, Langfuse