EEG Hardware
3 days ago
Job Title: EEG Hardware & Signal Processing Engineer
Location:
Delhi, India
Type:
Full-time
About Brainwave Science
Brainwave Science is a U.S.-patented neurotechnology company pioneering iCognative — an advanced BCI based investigative solution used by governments, intelligence, and security agencies worldwide. We are now embarking on the next phase of our journey: developing our own proprietary EEG headset to power future innovations in neuroscience, AI, and security technology.
Role Overview
We are seeking an experienced and highly skilled
EEG Hardware & Signal Processing Engineers
to lead the design, development, and testing of our custom EEG headset. You will be responsible for the full hardware lifecycle — from circuit design to amplifier development, analog-to-digital conversion, form factor optimization, and integration with AI-driven data processing systems.
Key Responsibilities
- Hardware Development
: Design and build EEG acquisition circuits, high-gain low-noise amplifiers, and precision analog-to-digital converters. - Signal Acquisition & Processing
: Ensure high-quality, artifact-free brainwave data capture for scientific and operational applications. - Form Factor & Ergonomics
: Work with industrial designers to create comfortable, wearable headset designs suitable for long-duration use. - AI & Data Integration
: Collaborate with AI/machine learning engineers to optimize data pipelines and develop brainwave interpretation algorithms. - Prototyping & Testing
: Build functional prototypes, perform iterative improvements, and conduct validation studies. - Documentation
: Maintain technical schematics, component specifications, and research documentation.
Qualifications
- Bachelor's or Master's in Electrical Engineering, Biomedical Engineering, Neuroscience Engineering, or related field (IIT or equivalent preferred).
- Proven experience in
EEG hardware design
(circuit design, amplifier design, ADC). - Strong background in
signal processing
and
mathematics
(Fourier transforms, filtering, noise reduction). - Experience with AI/ML applications in biosignal processing is a plus.
- Knowledge of wearable device form factor design and ergonomics.
- Familiarity with regulatory requirements for medical or neurotechnology devices is a plus.
Preferred Skills
- Proficiency in PCB design software (e.g., Altium, KiCad).
- Hands-on prototyping and lab testing skills.
- Experience in biosignal acquisition beyond EEG (EMG, ECG, etc.).
- Strong problem-solving abilities and a collaborative mindset.
What We Offer
- Opportunity to work on groundbreaking neurotechnology with global impact.
- Collaborative, innovative, and mission-driven work culture.
- Competitive compensation and benefits.
To Apply:
Send your CV, portfolio, and examples of relevant EEG or hardware projects to
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.
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