Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek visionary Quantum Computing Researchers to dismantle computational barriers and redefine what's possible in cryptography, materials science, and AI optimization. Our Austin-based hub offers unparalleled resources for groundbreaking research with state-of-the-art quantum processors and collaborative innovation labs.
As a key member of our Future Technologies Division, you'll work alongside Nobel laureates and industry pioneers to develop scalable quantum algorithms, error-correction methodologies, and hybrid quantum-classical systems. This role combines deep theoretical physics with hands-on experimentation in one of the world's most dynamic tech ecosystems.
Responsibilities
- Design and implement novel quantum algorithms targeting 2026 computational challenges
- Develop fault-tolerant quantum error correction protocols for practical applications
- Lead experimental validation of quantum supremacy claims on multi-qubit systems
- Collaborate with AI teams to optimize quantum machine learning frameworks
- Publish breakthrough research in top-tier journals and industry whitepapers
- Secure patents for quantum cryptography and communication innovations
- Mentor junior researchers in quantum physics principles and experimental methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
- Proven expertise in quantum circuit design and quantum algorithm development
- Publication record in quantum computing or theoretical physics (arXiv submissions acceptable)
- Hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Strong mathematical foundations in linear algebra, probability, and information theory
- Experience with cryogenic quantum systems or superconducting qubit manipulation
- Demonstrated ability to translate theoretical concepts into experimental prototypes
- Passion for solving humanity's most complex computational challenges