Job Description
Join NexusTech Innovations at the forefront of technological evolution as we pioneer the next generation of quantum computing solutions. We're seeking a visionary Quantum Computing Research Lead to architect breakthrough systems that will redefine industries by 2026. This role offers unparalleled opportunity to shape the future of computation while working with world-class researchers in our Austin-based innovation hub.
As a key member of our Future Technologies division, you'll lead cross-functional teams in developing scalable quantum algorithms, error-correction frameworks, and hybrid quantum-classical architectures. Our state-of-the-art facilities include 128-qubit processors and dedicated cryogenic labs, providing the perfect environment for groundbreaking research.
We offer competitive compensation, comprehensive benefits, and flexible work arrangements to support your professional growth. Join us in solving humanity's most complex challenges through quantum supremacy.
Responsibilities
- Architect and implement quantum algorithms for optimization, cryptography, and simulation applications
- Lead research teams in developing novel error-correction techniques for fault-tolerant quantum systems
- Collaborate with hardware engineers to design hybrid quantum-classical computing workflows
- Publish peer-reviewed research and present findings at leading conferences (IEEE, APS, etc.)
- Drive strategic partnerships with academic institutions and quantum hardware providers
- Develop roadmaps for quantum computing applications in finance, healthcare, and logistics sectors
- Mentor junior researchers and establish best practices for quantum software development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 5+ years of experience in quantum algorithm development or quantum hardware research
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Published record in quantum computing or quantum information theory
- Strong background in linear algebra, probability theory, and computational complexity
- Experience leading technical projects with cross-functional teams
- Deep understanding of quantum error correction codes (surface, color, LDPC codes)
- Knowledge of NISQ-era limitations and fault-tolerant quantum computing architectures