Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen neural networks operating in quantum superposition, pushing beyond classical computing limits. Our multidisciplinary team collaborates with NASA, CERN, and MIT to develop applications in climate modeling, drug discovery, and cryptography. Enjoy unlimited R&D budget, flexible hybrid work, and equity in a unicorn valued at $2B+. Your breakthroughs will redefine how machines think.
Responsibilities
- Design quantum machine learning algorithms leveraging qubit entanglement
- Develop hybrid quantum-classical neural networks for predictive analytics
- Lead cross-functional teams in prototyping quantum-AI fusion systems
- Optimize quantum circuit performance for real-time data processing
- Secure patents for novel quantum computing methodologies
- Collaborate with academic partners on 2026-era quantum standards
Qualifications
- PhD in Quantum Computing or AI with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's)
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Published research in Nature/Science on quantum machine learning
- Experience with cryogenic quantum computing hardware
- Security clearance for government quantum projects