Job Description
Join the vanguard of technological innovation at Nexus Quantum Solutions as we pioneer the next frontier of computing. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will shape the digital landscape of 2026 and beyond. This is your opportunity to work at the intersection of physics, computer science, and artificial intelligence in a state-of-the-art laboratory environment.
Our team is dedicated to solving humanity's most complex challenges—from climate modeling to drug discovery—through quantum supremacy. You'll collaborate with Nobel laureates, publish groundbreaking research, and contribute to patentable innovations that will redefine industries.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead experimental validation of quantum circuits on superconducting and photonic platforms
- Develop error mitigation protocols and quantum error correction codes for fault-tolerant systems
- Collaborate with AI engineers to integrate quantum computing with classical neural networks
- Publish peer-reviewed research and present findings at premier conferences (e.g., APS March Meeting, IEEE Quantum Week)
- Secure government and industry grants to advance quantum research initiatives
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Physics, Computer Science, or related field with 3+ years of quantum computing research
- Proficiency in quantum programming languages (Q#, Quil, or Cirq) and simulation frameworks
- Published work in top-tier journals (Nature, Science, Physical Review X) on quantum algorithms
- Hands-on experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, quantum information theory, and complexity classes
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum integration
- Proven ability to secure competitive research funding (NSF, DOE, or DARPA grants)