Job Description
Join NeuroQuant Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll architect next-generation algorithms that transcend classical computing boundaries. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and neuroscience in state-of-the-art facilities overlooking the Bay.
We offer unparalleled resources: 128-qubit quantum processors, dedicated neural mapping labs, and collaborative partnerships with MIT and Stanford. This role directly impacts breakthroughs in climate modeling, personalized medicine, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Optimize quantum circuits for error correction and scalability in real-world deployments
- Collaborate with neuroscientists to model quantum biological processes
- Author peer-reviewed publications and patent novel quantum-AI methodologies
- Mentor junior researchers in quantum programming frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum information science or quantum AI
- Expertise in tensor networks and quantum circuit optimization
- Strong background in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti)