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 architect next-generation quantum systems that will redefine computational boundaries. In this pivotal role, you'll lead a multidisciplinary team of physicists and engineers to develop scalable quantum algorithms, optimize quantum error correction protocols, and bridge quantum-classical computing paradigms. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into practical applications across cryptography, materials science, and AI optimization.
As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We provide competitive equity packages, cutting-edge lab facilities, and flexible work arrangements designed for maximum innovation. If you're passionate about quantum supremacy and want to shape the computational landscape of the next decade, this is your opportunity to leave a legacy.
Responsibilities
- Design and implement scalable quantum algorithms for practical industrial applications
- Lead quantum error correction protocol development achieving fault-tolerant thresholds
- Architect hybrid quantum-classical computing frameworks for enterprise solutions
- Mentor cross-functional teams of quantum physicists and software engineers
- Secure $5M+ in research grants through NSF and DoD partnerships
- Publish breakthrough research in Nature/Science journals with real-world impact
- Develop quantum security protocols resistant to 2026-era cyber threats
- Establish industry standards for quantum computing interoperability
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years experience
- Proven track record of publishing in top-tier quantum computing journals
- Expertise in quantum circuit design and quantum machine learning frameworks
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in cryogenic engineering and superconducting qubit systems
- Ability to secure and manage multi-million dollar research budgets
- Proficiency in Python/C++ with quantum libraries (Qiskit, Cirq, Q#)
- Published work on quantum error correction or fault tolerance protocols