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Brain Machine Interface Jobs in California (NOW HIRING)

Subsense

Head of PR

Palo Alto, CA · On-site

$180K - $260K/yr

... machine interaction. The Opportunity Subsense is building a category-defining Brain-Computer Interface - and we're looking for a Marketing Lead who will make sure the world knows it . In this role ...

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

... from the brain, entirely non-invasively. We apply deep learning research to large scale EEG ... Our goal is to develop a general consumer interface to completely transform how we can live our ...

Alljoined

Software Engineer

San Francisco, CA · On-site

$140K - $200K/yr

... brain-computer interfaces. You might be a good fit if you * Have 5+ years of production software ... Experience developing internal libraries, SDKs, or tooling that powers machine learning and ...

Subsense

Director of Market Development

Palo Alto, CA · On-site

$180K - $260K/yr

... machine interaction. The Opportunity Subsense is building a category-defining Brain-Computer Interface - and we're looking for a Marketing Lead who will make sure the world knows it . In this role ...

Subsense

Research Scientist in Neuroscience

Palo Alto, CA · On-site

$115K - $140K/yr

... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... of human-machine interaction. The Opportunity We're seeking a Research Scientist with strong ...

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How much do brain machine interface jobs pay per hour?

As of May 31, 2026, the average hourly pay for brain machine interface in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

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 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.

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.
More about Brain Machine Interface jobs
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What cities in California are hiring for Brain Machine Interface jobs? Cities in California with the most Brain Machine Interface job openings:
Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in California as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.
Mechanical Engineer, Robotics (CONVOY)

Mechanical Engineer, Robotics (CONVOY)

Neuralink

South San Francisco, CA

Other

Posted 24 days ago

Job description

Team Description:

The Convoy team, a specialized group within the Robot Mechanical Engineering team, is working on developing a first-of-its-kind brain-controlled assistive robotic arm (ARA). Our focus is on developing high-dimensional neural control of hardware, specifically robotic arms and hands. We design and integrate robotics systems, work directly with our clinical trial participants, and collaborate cross-functionally with hardware, software, electrical, and BCI engineers. We believe this work may be one of the best and most advanced paths to giving physical independence back to users with unmet medical needs.

Job Description and Responsibilities:

As a Mechanical & Robotics Engineer at Neuralink, you will design and produce hardware solutions for our assistive robotic arm. Your responsibilities may also include working on our brain-computer interface devices, surgical robotics, automation, microfabrication, and more. You will have the opportunity to own projects from concept to production, leveraging your mechanical engineering background in the challenging field of brain interfaces and human-robot interaction. Your responsibilities will include:

  • Designing and integrating robot mechanical and electrical components and assemblies with a heavy emphasis on usability and safety
  • Collaborating with clinical trial participants, neuroscientists, biologists, and engineers to establish design criteria
  • Rapidly and effectively building systems to meet project goals
  • Applying analytical methods, including calculations and simulations, for the design and optimization of structures and mechanical components
  • Actively driving every phase of device launch, from hands-on early feasibility prototyping through manufacturing release

Required Qualifications:

  • Bachelor's degree in one of the following disciplines or equivalent experience: Mechanical Engineering, Robotics, Mechatronics
  • Strong understanding of engineering first principles
  • Minimum of 3 years of mechanical engineering industry experience, including internships and project teams where you owned products from concept to production
  • Proficient in 3D CAD

Preferred Qualifications: 

  • Experience with robotic systems such as robot arms, grippers, actuators, human-robot interaction
  • Multidisciplinary experience in robotics software and control (e.g., Python, ROS, MATLAB, control theory)
  • Electrical engineering proficiency (e.g., PCB design, wire harnessing, circuit design)
  • Proficiency with conventional machining and rapid prototyping technologies

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