Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next computing paradigm for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect breakthrough solutions that will redefine industries. As a key member of our innovation ecosystem, you'll drive quantum algorithm development, lead cutting-edge research initiatives, and collaborate with world-class physicists and engineers to solve humanity's most complex challenges.
Our Austin-based hub offers state-of-the-art facilities and unparalleled resources for quantum experimentation. This role combines deep technical expertise with strategic vision, requiring candidates who thrive at the intersection of theoretical physics and practical application. If you're passionate about shaping the future of computation and making tangible impacts on fields from cryptography to drug discovery, this is your opportunity to lead the quantum revolution.
Responsibilities
- Design and implement novel quantum algorithms with real-world commercial applications
- Lead cross-functional research teams in quantum hardware optimization and error correction
- Develop strategic roadmaps for quantum computing integration into enterprise systems
- Secure and manage research partnerships with academic institutions and government labs
- Translate quantum research findings into patentable innovations and IP portfolios
- Mentor junior researchers and foster a culture of quantum literacy across departments
- Present breakthrough findings at industry conferences and peer-reviewed publications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years industry experience
- Proven track record of publishing in top-tier quantum computing journals (e.g., Nature Quantum)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum hardware architectures including superconducting qubits and ion traps
- Experience securing federal research grants (NSF, DOE, DARPA) or corporate R&D funding
- Strong background in complex algorithm design and computational complexity theory
- Exceptional leadership skills with experience managing technical teams of 10+ researchers