Job Description
Join Nexus Quantum 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 Lead to drive breakthroughs in quantum algorithms, error correction, and practical applications. Our Austin-based hub combines cutting-edge facilities with a collaborative culture where your expertise will shape the next generation of computational paradigms.
As part of our 2026 Visionary Program, you'll work alongside Nobel laureates and industry disruptors to develop quantum-resistant cryptography, optimize machine learning models, and solve previously unsolvable problems in materials science and drug discovery. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities for professional growth in one of the world's most dynamic tech ecosystems.
Responsibilities
- Lead quantum algorithm development for practical industrial applications in finance, healthcare, and logistics
- Design and implement error correction protocols for scalable quantum processors
- Collaborate with hardware teams to optimize quantum gate operations and qubit stability
- Publish research in top-tier journals and present findings at international conferences
- Mentor a team of quantum researchers and cross-functional engineering teams
- Develop quantum security frameworks for post-quantum cryptography standards
- Secure government and private sector funding for quantum computing initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with 5+ years quantum computing research
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum circuit optimization
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published record in quantum computing or quantum information theory
- Experience leading cross-disciplinary research teams in high-tech environments
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in linear algebra, probability theory, and computational complexity