Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-gen algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling.
Our state-of-the-art facility in San Francisco offers unparalleled resources, including access to 1000-qubit processors and a dedicated AI supercluster. Collaborate with Nobel laureates and Turing Award winners in an environment where breakthrough ideas become reality.
Responsibilities
- Develop hybrid quantum-classical machine learning models for real-world optimization problems
- Design error-corrected quantum circuits for scalable AI acceleration
- Lead cross-functional teams to implement quantum algorithms on proprietary hardware
- Author peer-reviewed publications and patent novel quantum AI methodologies
- Partner with Fortune 500 clients to deploy quantum solutions in finance and logistics
- Drive open-source contributions to quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development using frameworks like Qiskit or Cirq
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum assembly languages
- Published research in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
- Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, probability theory, and computational complexity