Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational capabilities by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum lab, where your innovations will power next-gen solutions in cryptography, drug discovery, and climate modeling.
As a key member of our Future Tech Division, you'll drive research initiatives that push the boundaries of quantum machine learning while mentoring the next generation of quantum pioneers. We offer competitive equity packages, unlimited learning stipends, and the autonomy to explore revolutionary ideas that could reshape humanity's technological landscape.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional R&D projects integrating quantum processors with AI frameworks
- Develop novel error-correction techniques for scalable quantum computing systems
- Publish breakthrough research in top-tier scientific journals and conferences
- Collaborate with hardware teams to co-design quantum-AI hybrid architectures
- Secure patents for proprietary quantum AI methodologies and applications
- Mentor junior researchers and drive innovation workshops
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 5+ years research experience
- Proven expertise in quantum algorithms (QAOA, VQE, Grover's variants) and AI frameworks
- Publication record in Nature/Science or IEEE journals on quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python-based ML libraries
- Demonstrated experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Strong background in linear algebra, quantum information theory, and statistical modeling
- Track record of securing research grants or industry partnerships