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Entry Level Brain Computer Interface Jobs in Bothell, WA

Infotech Sourcing

Research Scientist III

Redmond, WA · On-site

We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic ...

Infotech Sourcing

Research Scientist III

Redmond, WA · On-site

We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic ...

Nvidia

GPU Compiler Engineer

Redmond, WA

... computer graphics, and revolutionized parallel computing More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and ...

Nvidia

GPU Compiler Engineer

Redmond, WA · On-site

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and ...

Xerox

Order Desk Operator - Seattle, WA

Seattle, WA · On-site

... Entry Level Currency USD - United States - US Annual Base Salary Minimum 29,700 Annual Base Salary ... Direct interface to local customer contact Primary Responsibilities: * Responsible for processing ...

L&E Tubing LLC

Machine Operator 1 - Tubing

Everett, WA · On-site

$20 - $24/hr

We are seeking an entry level aerospace manufacturing Machine Operator I to join our manufacturing ... Basic computer skills for machine interfaces and documentation Work Environment * Manufacturing ...

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Entry Level Brain Computer Interface information

See Bothell, WA salary details

$33K

$112.1K

$270K

How much do entry level brain computer interface jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level brain computer interface in Bothell, WA is $112,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is an entry level brain computer interface?

An entry level brain computer interface (BCI) job typically involves assisting with the development, testing, and implementation of systems that connect the human brain to external devices, such as computers or prosthetics. These roles often require a background in neuroscience, engineering, computer science, or a related field. Responsibilities may include collecting and analyzing brain signal data, supporting software or hardware development, and conducting experiments under supervision. Entry-level employees usually work as part of multidisciplinary teams and receive on-the-job training to build expertise in the field.

What are the key skills and qualifications needed to thrive as an entry level brain computer interface specialist?

To thrive as an Entry Level Brain Computer Interface (BCI) Specialist, you need foundational knowledge in neuroscience, biomedical engineering, or computer science, often supported by a relevant bachelor's degree. Familiarity with signal processing software (such as MATLAB or Python), EEG systems, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex data. These skills ensure accurate development, testing, and implementation of BCI systems, which are crucial for advancing this emerging technology.

What are some common challenges faced by entry-level professionals working in brain-computer interface roles?

Entry-level professionals in Brain-Computer Interface roles often encounter challenges such as adapting to the interdisciplinary nature of the field, which blends neuroscience, engineering, and computer science. Newcomers may also need to quickly learn how to work with complex data sets and specialized hardware while keeping up with rapid technological advancements. Additionally, effective collaboration with researchers, clinicians, and software developers is essential for project success, so strong communication skills are important. Overcoming these initial hurdles can lead to meaningful contributions to cutting-edge research and technology development.

What is the difference between Entry Level Brain Computer Interface vs Entry Level Neural Engineer?

AspectEntry Level Brain Computer InterfaceEntry Level Neural Engineer
Required CredentialsBachelor's in neuroscience, engineering, or related field; basic understanding of signal processingBachelor's in biomedical engineering, neuroscience, or related; knowledge of neural systems and data analysis
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, medical device companies
Industry UsageDeveloping BCI devices, signal acquisition, and processingDesigning neural interfaces, analyzing neural data, device integration

While both roles involve working with neural data and require backgrounds in neuroscience or engineering, Entry Level Brain Computer Interface positions focus on developing and implementing BCI technologies, whereas Entry Level Neural Engineers typically work on designing neural systems and analyzing neural signals. Both roles are essential in advancing neurotechnology and often overlap in skills and work environments.

What job categories do people searching Entry Level Brain Computer Interface jobs in Bothell, WA look for?

The top searched job categories for Entry Level Brain Computer Interface jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Entry Level Brain Computer Interface jobs?

Cities near Bothell, WA with the most Entry Level Brain Computer Interface job openings:

Entry Level Brain Computer Interface jobs near you
Infographic showing various Entry Level Brain Computer Interface job openings in Bothell, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 8% Contract, and 1% Nights. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $112,085 per year, or $53.9 per hour.

Research Scientist III

Redmond, WA • On-site

Infotech Sourcing
IT Services • 11 - 50 employees
Learn more about Infotech Sourcingexternal

Full-time

Re-posted 4 days ago

Job description

Research Scientist III

Location: Redmond WA Onsite

Duration: 12 months with possible extension.

.
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR devices that are so compelling they become an integral part of our lives.
Beyond working within current paradigms to realize our vision, Reality Labs is heavily
invested in materials research and development at the fundamental level. This involves,
but is not limited to, designing and characterizing materials yet to be discovered, for highly
specific applications.
Responsibilities:
The position involves designing, building and automating an established workflow for the experimental screening of organic materials. Built on current in-house processes, this will streamline data acquisition required for the development of novel optoelectronic materials.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis, to prove new concepts and understand the potential impact of those concepts.
Collaborate with the larger Meta Reality Labs Research team to holistically understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an intimate understanding of equipment designed for high-throughput experiments.
Design and automate novel crystal growth, processing, and analysis techniques, with a focus on highly specific components and devices.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in Meta product development.
Minimum Qualifications:
PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).
Preferred Qualifications:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant high-impact journals.
Experience with solid-state analysis: e.g. diffuse reflectance, XRD, spectroscopy, DSC, optical microscopy.
Experience with crystallographic software (e.g. CCDC suite, BGMN, Profex, Olex2).
Experience with HPLC, LC-MS, UV/Vis and/or GC.
Experience working and communicating cross functionally in a team environment.
Experience with crystal growth and related concepts (e.g. supersaturation, nucleation, etc.).

Top 3 must-have

HARD skills:Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).

Good to have skills:

Working with organic crystals - and solubility of compounds
Previous experience with CAD software is asset
Experience with frequent report writing

PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field

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