Job Description
Shape the future at Nexus Future Labs! We're pioneering the convergence of quantum computing and artificial intelligence, and we need visionary minds to lead this revolution. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that leverage quantum mechanics to solve previously unsolvable problems in machine learning, cryptography, and computational biology. Join our elite team at our San Francisco hub where innovation meets impact, and collaborate with Nobel laureates and Turing Award winners to redefine technological boundaries.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Develop novel quantum algorithms to accelerate AI training and inference
- Lead cross-functional R&D projects integrating quantum hardware with AI systems
- Publish breakthrough research in top-tier journals and present at international conferences
- Collaborate with quantum hardware teams to optimize algorithm performance
- Secure patents for innovative quantum-AI methodologies
- Mentor junior researchers and drive quantum computing education initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 3+ years post-grad research
- Expertise in quantum algorithms, quantum machine learning, and quantum error correction
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and AI frameworks (PyTorch, TensorFlow)
- Published research in Nature/Science or equivalent tier journals
- Experience with quantum hardware integration (superconducting, trapped ion, photonic systems)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and computational complexity