Job Description
Shape the future at Nexus Quantum Labs as we pioneer the 2026 frontier of Quantum-AI integration. Join our elite research team developing next-generation quantum neural networks for unsolvable computational challenges. We offer unparalleled resources, collaborative innovation labs, and stock options in a company valued at $2B+. Work on projects that will redefine humanity's technological capabilities.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for machine learning applications
- Lead breakthrough research in quantum error correction for scalable quantum computing
- Collaborate with MIT/Stanford PhDs on patent-pending quantum AI architectures
- Develop production-level quantum simulation frameworks using Qiskit/PyTorch
- Present findings at Nature/Science journals and IEEE Quantum Week
- Mentor junior researchers in quantum information theory
- Secure $5M+ in NSF/NASA research grants
Qualifications
- PhD in Physics, Computer Science, or Mathematics with quantum focus
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or topological quantum computing
- Expertise in tensor networks and quantum circuit optimization
- Proficiency in Python/C++ with high-performance computing frameworks
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra and quantum information theory
- Track record of securing federal research grants