Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that will redefine computational boundaries. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that merge quantum computing with machine learning. This role offers unparalleled opportunity to shape humanity's digital future in our state-of-the-art San Francisco lab.
Our team operates at the intersection of quantum physics and artificial intelligence, developing breakthrough applications for cryptography, drug discovery, and climate modeling. You'll collaborate with Nobel laureates and industry disruptors while enjoying competitive compensation, unlimited learning resources, and flexible work arrangements designed for peak innovation.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for complex optimization problems
- Lead research in quantum neural networks and hybrid quantum-classical computing architectures
- Develop scalable quantum AI frameworks compatible with leading quantum hardware platforms
- Publish groundbreaking research in top-tier journals and present at international conferences
- Mentor cross-functional teams of physicists, engineers, and data scientists
- Secure government and private research funding through compelling proposals
- Translate theoretical quantum AI models into practical industrial applications
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python ML frameworks
- Published research in quantum machine learning or quantum information theory
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, probability, and computational complexity
- Track record of securing research grants or venture funding for tech projects
- Exceptional problem-solving skills with ability to navigate ambiguous technical challenges