Quantum AI Software Engineering Research Fellowship (Available May)

Quantum AI Software Engineering Research Fellowship

Binfin8: Stealth Research in Quantum Neural Intelligence

Our research direction aligns with federal research priorities! We are pursuing federal research engagement and partnerships with major quantum computing platforms.

We are pioneering the next generation of quantum-primary neural sensing and intelligence generation through patent-protected research currently operating in stealth mode and aligned with federal research priorities in quantum computing, neurotechnology, and brain science:

— Quantum Neural Brain Sensing System: A wearable quantum-primary platform producing advanced medical brain imaging and a complete deployable neural identity reconstruction from a single non-invasive scan session.

— Quantum-to-AI Pipeline: The first bidirectional architecture using quantum computing as the mandatory primary engine and AI as a downstream tool for neural decoding, voice synthesis, and behavioral modeling.

— Communication Restoration: Quantum-decoded brain-direct communication for non-speaking individuals including those with autism spectrum conditions, ALS, and locked-in syndrome.

🔧 RESPONSIBILITIES

— Develop, analyze, and maintain quality software for quantum-AI integration pipelines
— Build scalable code interfacing quantum software frameworks (Qiskit, Cirq, PennyLane) with AI training pipelines
— Develop quantum-derived neural data processing software using PyTorch or TensorFlow
— Build APIs and software architecture for brain imaging output and brain clone deployment
— Conduct stealth research and analysis on quantum sensing, quantum algorithms, and emerging neurotechnology
— Collaborate with university professors and academic researchers on research deliverables
— Explore innovative use cases for quantum computing, quantum sensing, and neurotechnology integration
— Stay up-to-date with advancements in quantum hardware, quantum algorithms, AI architecture, and brain-computer interfaces
— Conduct literature review and analysis on emerging quantum frameworks, neural decoding methods, and best research practices
— Support preparation of federal research engagement materials and partnership submissions to major quantum computing platforms

🚀 PROJECTS YOU WILL CONTRIBUTE TO

— Quantum Neural Pipeline: Refine the quantum-primary brain signal reconstruction software using quantum oracle sketching and quantum machine learning
— Brain Clone AI Models: Build and train AI models on quantum-derived neural fingerprint data for thought, voice, and behavioral reconstruction
— Live Brain Data Transcription: Build the real-time decoding pipeline producing words, numbers, emotions, and visual thought reconstructions
— Wearable Software Stack: Build front-end and back-end systems for the apparatus companion app and clinician dashboard across iOS, Android, and web
— Neural Vault Security: Build encrypted neural data storage with subject-controlled access and revocation
— Research Documentation: Support patent prosecution, peer-reviewed publication, and federal research engagement deliverables

🌍 WHAT YOU WILL GAIN

— Hands-on experience in a fast-paced patent-pending stealth research environment aligned with federal research priorities
— Exposure to quantum computing and neurotechnology at a depth few undergraduates ever access
— Collaboration with a diverse team of experts across quantum computing, AI, neuroscience, and software engineering, including a Google engineer on the team
— Direct collaboration with university professors and academic research partners on research deliverables
— Opportunity to be named on research outputs and academic publications
— Reference letters for graduate school admissions and industry placement
— Experience with cutting-edge technologies including quantum machine learning, quantum-AI hybrid algorithms, large language model fine-tuning, voice synthesis, and brain-computer interface software
— Insight into stealth-mode startup operations, intellectual property strategy, federal research engagement pathways, and partnership negotiations with major quantum computing platforms

REQUIRED SKILLS:

Programming Languages:
— Python (advanced — required)
— Full Stack developer Preferred

Frameworks and Libraries:
— PyTorch or TensorFlow (one required)
— NumPy, Pandas, SciPy
— Git and version control

NICE TO HAVE:
— Qiskit, Cirq, or PennyLane experience
— Quantum algorithm understanding
— LLM fine-tuning experience (Llama, Mistral, GPT)
— EEG, MEG, or fNIRS data familiarity
— FastAPI, REST API, or React experience
— Linear algebra and quantum mechanics coursework

ACADEMIC BACKGROUND:
— Computer science, software engineering, AI, quantum computing, computational neuroscience, applied mathematics, physics, or related field
— Junior, senior, graduate student, or PhD candidate
— Strong academic record preferred

* Reminder that this is a fellowship / internship that is fully remote.

(This opportunity is structured as an educational experience focused on quantum research, neurotechnology research, mentorship, and academic development. Apart from the valuable experience and exposure you gain, enrolled students may earn academic credits upon approval from the school and compliance with its credit policy.)

Binfin8
Patent Pending — April 2026
Stealth Research