Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen algorithms that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of AI, cryptography, and material science through hands-on quantum experimentation.
As part of our elite innovation team, you'll collaborate with Nobel Prize-winning physicists and top-tier engineers to develop scalable quantum systems. Our state-of-the-art Austin facility houses 512-qubit processors and cryogenic research infrastructure, enabling breakthrough research previously deemed impossible. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for your experimental projects.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead experimental validation of quantum circuits on superconducting and photonic platforms
- Develop error mitigation protocols to achieve fault-tolerant quantum computation
- Collaborate with cross-functional teams to integrate quantum solutions into classical computing frameworks
- Publish peer-reviewed research and present findings at top-tier conferences
- Secure patents for proprietary quantum methodologies and intellectual property
- Mentor junior researchers in quantum physics and computational theory
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research experience
- Proven expertise in quantum algorithm development (QAOA, VQE, Grover's variants)
- Hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in Nature/Science or IEEE Quantum journals
- Deep understanding of quantum error correction and fault tolerance
- Strong background in high-performance computing and parallel processing
- Experience securing DoD or DARPA quantum research funding