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Entry Level Brain Computer Interface Jobs in California

Neuralink

Materials Engineer

South San Francisco, CA · On-site

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization ...

Neuralink

Materials Engineer

South San Francisco, CA · On-site

$113K - $209K/yr

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization ...

Neuralink

UI Design Engineer

South San Francisco, CA · On-site

$135K - $281K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Bachelor's degree in Computer Science, Human-Computer Interaction, or related field; or equivalent ...

GFT.

Entry Level Mechanical Engineer

Roseville, CA · On-site

$80K - $100K/yr

They perform 2D and 3D CAD modeling, preliminary finite element analysis (FEA), assist with field ... Support proposal teams and regularly interface with clients to deliver project outcomes. What you ...

New

GFT.

Entry Level Mechanical Engineer

Roseville, CA

$80K - $100K/yr

They perform 2D and 3D CAD modeling, preliminary finite element analysis (FEA), assist with field ... Support proposal teams and regularly interface with clients to deliver project outcomes. What you ...

New

GFT.

Entry Level Mechanical Engineer

Roseville, CA · On-site

$80K - $100K/yr

They perform 2D and 3D CAD modeling, preliminary finite element analysis (FEA), assist with field ... Support proposal teams and regularly interface with clients to deliver project outcomes. What you ...

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Entry Level Brain Computer Interface information

What is an entry level brain computer interface job?

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 some common challenges faced by entry-level professionals working in Brain-Computer Interface (BCI) 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 are the key skills and qualifications needed to thrive as an Entry Level Brain Computer Interface Specialist, and why are they important?

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 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 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 Entry Level Brain Computer Interface jobs in California? For Entry Level Brain Computer Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Brain Computer Interface jobs in California look for? The top searched job categories for Entry Level Brain Computer Interface jobs in California are:
What cities in California are hiring for Entry Level Brain Computer Interface jobs? Cities in California 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 California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Materials Engineer

Materials Engineer

Neuralink

South San Francisco, CA • On-site

Other

Posted 12 days ago

Job description

Team Description:

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization, hermetic packaging reliability, accelerated lifetime testing, and predictive simulation for implantable neural devices. We operate at the intersection of physical testing and computational modeling, closing the loop between experiment and simulation to drive design decisions.

Job Description and Responsibilities:

We are looking for a Mechanical Engineer who owns the full simulation-to-test loop for implant mechanical reliability. This person will build explicit dynamics FEA models, design and run physical tests, calibrate material models against experimental data, and validate predictions. You will work closely with materials engineers, microfabrication, and cross-functional reliability teams to ensure the implant meets impact, fatigue, and seal integrity requirements.

  • Build, refine, and validate explicit dynamics Finite Element Analysis (FEA) models (LS-DYNA, Abaqus/Explicit) to predict mechanical response under high-strain-rate impact loading.
  • Own the in-house mechanical testing pipeline end-to-end: design fixtures, prepare specimens, run tests (servo-hydraulic, drop tower, DIC), and correlate results to simulation using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).
  • Translate physical test data into constitutive model inputs: calibrate material cards, optimize parameters, and deliver validated simulation files.
  • Coordinate test projects (SHPB, DMA, abuse testing) and own data quality from external sources.
  • Extend validated impact models to adjacent reliability domains: burst/cyclic pressure testing, vibration fatigue, and seal interface simulation.
  • Support cross-functional reliability programs including thermal modeling, RH/leak modeling, and accelerated lifetime testing as needed

Required Qualifications:

  • MS or PhD in Mechanical Engineering, Materials Science, or related field.
  • 2+ years of hands-on experience with explicit dynamics FEA (LS-DYNA, Abaqus/Explicit, or similar) - not static/modal only.
  • 2+ years of hands-on experience with mechanical testing (tensile testers, DMA, servo-hydraulic frames, or similar equipment).
  • Experience with polymer or composite material characterization, including rate-dependent and temperature-dependent behavior.
  • Hands-on experience with mechanical assembly, fabrication, or building and calibrating test equipment.
  • Proficiency in mechanical design (SolidWorks or similar CAD software).
  • Familiarity with relevant test standards (ASTM, IEC).
  • Ability to work autonomously: define test plans, build fixtures, run tests, analyze data, and present conclusions

Preferred Qualifications:

  • Direct experience with high-strain-rate testing (SHPB, drop tower).
  • Experience with Digital Image Correlation (DIC) or full-field strain measurement.
  • Experience with constitutive model calibration and parameter optimization (fitting test data to LS-DYNA material cards such as MAT_SAMP-1, MAT_024, or cohesive zone models).
  • Medical device or aerospace reliability background (DV/V&V, FDA regulatory context).
  • Python for data processing and automation.
  • Experience correlating simulation to physical test data using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).
  • Experience calibrating and troubleshooting lab instrumentation.

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