Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We seek a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This role offers unparalleled resources to develop next-gen algorithms, optimize quantum neural networks, and solve previously unsolvable computational challenges. Our state-of-the-art lab in San Francisco's tech corridor provides access to cutting-edge quantum hardware and collaborative partnerships with industry leaders. Ideal candidates will thrive in an environment where theoretical innovation meets real-world application, shaping the future of computational intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to optimize quantum circuits for AI workloads
- Develop error mitigation strategies for large-scale quantum computations
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive cross-functional innovation
- Secure patents for novel quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum programming frameworks
- Proven track record in machine learning and deep learning architectures
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Pub record in Nature/Science or equivalent tier journals
- Strong Python/C++ proficiency and quantum simulation tools (Qiskit, Cirq, PennyLane)
- Ability to translate theoretical concepts into practical quantum solutions