Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing breakthrough applications in cryptography, drug discovery, and climate modeling. This role offers unparalleled opportunities to publish in top-tier journals, collaborate with Nobel laureates, and shape the future of computational science. We provide cutting-edge lab resources, competitive equity packages, and a flexible remote-first hybrid work model.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Lead cross-functional R&D projects in quantum hardware-software integration
- Develop scalable frameworks for quantum error correction and fault tolerance
- Collaborate with AI teams to create hybrid quantum-classical neural networks
- Publish research in Nature/Science journals and present at IEEE conferences
- Mentor junior researchers and secure government/industry grants
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing focus
- 3+ years experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Proven expertise in quantum machine learning algorithms and protocols
- Strong background in linear algebra, quantum mechanics, and information theory
- Publication record in peer-reviewed quantum computing journals
- Experience with superconducting qubit systems or photonic quantum processors
- Proficiency in Python, C++, and high-performance computing frameworks