Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-computing-integrated AI systems that will redefine industries. As a Quantum AI Research Scientist, you'll develop breakthrough algorithms leveraging quantum superposition and machine learning convergence. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical physics into real-world applications.
We seek visionary researchers to accelerate our roadmap for fault-tolerant quantum neural networks by 2026. Collaborate with Nobel laureates and build solutions for climate modeling, drug discovery, and autonomous systems. This role includes competitive equity, flexible hybrid work, and exclusive access to our quantum computing infrastructure.
Responsibilities
- Design quantum machine learning algorithms for 2026-scale computational challenges
- Lead research in quantum neural network optimization and error correction
- Develop hybrid quantum-classical AI frameworks for industrial applications
- Publish peer-reviewed papers in top-tier quantum computing journals
- Mentor junior researchers in quantum algorithm development
- Collaborate with hardware teams to optimize quantum-AI integration
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum AI or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, quantum mechanics, and statistical modeling