Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, material science, and AI optimization. Our state-of-the-art Austin facility offers unparalleled resources including 128-qubit processors and cryogenic computing infrastructure.
As part of our innovation ecosystem, you'll lead experimental research initiatives, publish groundbreaking findings in top-tier journals, and contribute to open-source quantum frameworks. We provide competitive equity packages, flexible research timelines, and access to exclusive industry partnerships. If you're ready to shape the computational paradigm of tomorrow, apply now and become a cornerstone of our quantum revolution.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental research on quantum error correction and fault-tolerant systems
- Collaborate with hardware engineers to co-design quantum processor architectures
- Develop hybrid quantum-classical machine learning frameworks
- Publish peer-reviewed research and present findings at international conferences
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers in quantum information theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Proven expertise in quantum circuit design and quantum simulation frameworks
- Publication record in Nature/Science or equivalent top-tier journals
- Proficiency in Qiskit, Cirq, or other quantum programming environments
- Deep understanding of quantum decoherence and error mitigation techniques
- Experience with high-performance computing clusters and parallel programming
- Demonstrated ability to translate theoretical concepts into experimental implementations