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Internship Brain Computer Interface Jobs in Folsom, CA

... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... Evaluate, select, and integrate internal and external IP, including I/O interfaces.Work with ...

Identifying user interface needs and design/develop them to meet user requirements. * Monitoring ... Bachelor's degree in Computer Science, Software Engineering or closely related field, with at least ...

You will use and gain experience in storage interface standards such as NVMe, PCIe, SATA, and SAS ... The candidate must have a bachelor's degree in Computer Engineering, Electrical Engineering or ...

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You will use and gain experience in storage interface standards such as NVMe, PCIe, SATA, and SAS ... The candidate must have a bachelor's degree in Computer Engineering, Electrical Engineering or ...

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Showing results 1-20

Internship Brain Computer Interface information

See Folsom, CA salary details

$12

$24

$42

How much do internship brain computer interface jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for internship brain computer interface in Folsom, CA is $24.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $25.96 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What cities near Folsom, CA are hiring for Internship Brain Computer Interface jobs?

Cities near Folsom, CA with the most Internship Brain Computer Interface job openings:

2027 Graduate Hardware, Validation, and Product Engineering Internships - US

Rancho Cordova, CA โ€ข On-site

$133K - $176K/yr

Other

Posted 5 days ago


Job description

2027 Graduate Hardware, Validation, and Product Engineering Internships - US

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software โ€” refuse. These are signs of fraud.

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At , we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At , we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of 's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead . We want a diverse team of dedicated professionals who will not just be team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

is seeking talented and motivated graduate students for our Hardware, Electrical Validation & Product Engineering Internships in the United States. This evergreen posting supports multiple internship opportunities across electrical validation, hardware bring-up, signal integrity, SSD product engineering, and performance characterization.

As an intern, you will work on real engineering challenges supporting 's data center SSD products, including testing and validating hardware and system behavior, analyzing electrical and reliability data, and supporting product characterization.

This internship is ideal for graduate students who enjoy hands-on problem solving, using lab equipment, and analyzing complex data to help bring data center storage products from development through validation.

Key Responsibilities

Interns may be assigned one or more of the following responsibilities based on project needs, team priorities, and individual strengths:

  • Support validation and characterization of SSD hardware, components, interfaces, and platforms; execute test plans and verify electrical and functional requirements.
  • Assist with validation and debug of high-speed signals and interfaces such as PCIe, including signal-integrity, power-integrity, and interoperability investigations.
  • Use lab equipmentโ€”oscilloscopes, logic analyzers, protocol analyzers, and automated test systemsโ€”to collect data and troubleshoot issues.
  • Validate SSD behavior in system environments; reproduce issues and analyze logs to support root-cause investigations.
  • Support product characterization of performance, power, thermals, and reliability; analyze trends and communicate findings.
  • Develop or improve test scripts, dashboards, and automation frameworks to improve validation efficiency and reporting.
  • Analyze benchmark, telemetry, and test-log data to identify trends, anomalies, or product risks.
  • Support technical analysis of SSD products, customer requirements, and competitive benchmarking.
  • Collaborate with cross-functional hardware, firmware, validation, and product teams; document test methods and findings.
Qualifications Minimum Qualifications
  • Currently pursuing a Master's or Ph.D. degree in Electrical Engineering, Computer Engineering, Electronics Engineering, Computer Science, or a related technical discipline.
  • Foundational knowledge of analog and digital circuits, computer architecture, or electronic systems.
  • Experience with a programming or scripting language such as Python, C, C++, or MATLAB.
  • Familiarity with Linux-based development or test environments.
  • Strong analytical, debugging, and problem-solving skills.
  • Ability to work independently and collaboratively in a technical team environment.
Preferred Qualifications
  • Experience using lab equipment such as oscilloscopes, logic analyzers, or protocol analyzers.
  • Familiarity with PCIe, NVMe, NAND flash, SSDs, or data center server platforms.
  • Coursework or project experience in signal integrity, power integrity, or electronic validation.
  • Experience with hardware bring-up, board-level debug, or system integration.
  • Exposure to test automation, data collection, or test-framework development.
  • Familiarity with performance benchmarking, telemetry, or log analysis.
  • Interest in technical marketing, applications engineering, or customer-facing technical communication.
Additional Information What Youโ€™ll Gain

As a intern, you will have the opportunity to:

  • Work on meaningful projects tied to real data center SSD products and engineering priorities.
  • Gain hands-on experience with hardware validation, electrical characterization, and lab automation.
  • Collaborate with experienced engineers, architects, and cross-functional teams.
  • Develop practical skills in lab measurement, debugging, and technical communication.
  • Present your work and contribute to solutions that may influence future products.
  • Grow your professional network through mentorship and intern program activities.
Additional Information

Work locations may include Rancho Cordova, CA; San Jose, CA; or other U.S. locations based on business need and internship assignment.

Internship availabilit and project scope may vary by team, degree level, and business requirements.

All your information will be kept confidential according to EEO guidelines.

4462โ€“12441$ /month

4462 $ 25%

8883 $ median

12441 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.

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