Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to architect breakthrough systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms, optimize hardware architectures, and solve previously unsolvable computational challenges. Our Austin campus features state-of-the-art labs, unlimited R&D resources, and a culture that celebrates audacious innovation.
If you thrive at the intersection of theoretical physics and applied engineering, and dream of building the computational backbone of tomorrow's digital ecosystem, this is your calling. We offer competitive equity packages, flexible hybrid work, and dedicated time for moonshot projects that could shape humanity's future.
Responsibilities
- Design and implement quantum algorithms for cryptography optimization and machine learning acceleration
- Lead cross-functional prototyping of quantum hardware interfaces with classical computing systems
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Author peer-reviewed research papers and present findings at global quantum summits
- Mentor junior researchers while maintaining 30% time for independent exploration
- Collaborate with government and industry partners on quantum security initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Published research in quantum algorithm development or quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Demonstrated experience with superconducting qubit systems or topological quantum computing
- Strong background in linear algebra, probability theory, and computational complexity
- Track record of translating theoretical models into practical implementations
- Exceptional problem-solving skills with ability to navigate ambiguous technical challenges