Job Description

Nirvesh Enterprises Private Limited, an emerging neurotechnology startup, is building next-generation brain-sensing solutions that take neuroscience beyond the lab and into real-world applications. We are looking for a Digital Signal Processing Engineer with strong EEG and/or fNIRS experience to join our core team.
If you're passionate about brain signals, wearable neurotech, and building breakthrough products--this role is for you.
What You'll Do:

• Develop and optimize DSP algorithms for EEG and fNIRS signals (filtering, artifact removal, feature extraction, sensor fusion).

• Build real-time signal-processing pipelines for wearable or mobile neurotech systems.

• Analyze neural and physiological datasets to prototype cognitive/affective state models.

• Implement ML/statistical models for prediction or classification.

• Work closely with hardware, software, and neuroscience teams.

• Rapidly prototype in Python/MATLAB (bonus: C/C++).

• Support experiments, data collection, and validation.

Requirements
What We're Looking For
Hands-on EEG and/or fNIRS processing experience.
Strong DSP fundamentals (ICA/CCA, filtering, spectral analysis, wavelets, etc.).
Proficiency in Python or MATLAB.
Experience with ML for time-series/physiological signals.
Comfort working in fast-moving, evolving startup environments.
Nice to Have:
Wearable neurotech experience,

• Embedded DSP, Cloud/mobile integration,

• BCI/neurofeedback background, or knowledge of medical device workflows.

Who You Are
You love solving noisy signal challenges.
You move fast, iterate, and enjoy building real products.
You are collaborative, curious, and mission-driven.
You want to help shape the future of neurotechnology.

Skills Required