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 Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility, leveraging $50M in cutting-edge quantum hardware. You'll shape the future of cryptography, materials science, and artificial intelligence through hands-on experimentation with 128-qubit processors.
Our team operates at the intersection of theoretical physics and practical application, where your work could accelerate drug discovery by 10x, optimize climate modeling precision, or break current encryption standards. We offer unparalleled resources including access to cryogenic quantum processors, dedicated supercomputing clusters, and a patent program that rewards innovation. This isn't just research—it's about building the computational foundation for humanity's next great leap forward.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental validation of quantum protocols on proprietary hardware platforms
- Develop error mitigation techniques to achieve fault-tolerant quantum computation
- Collaborate with AI teams to integrate quantum acceleration into machine learning frameworks
- Publish breakthrough research in top-tier journals and present at international conferences
- Secure $2M+ in research grants through compelling technical proposals
- Mentor PhD researchers and drive innovation in quantum software development
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
- 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in Nature/Science or equivalent quantum computing venues
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in high-performance computing and parallel programming
- Demonstrated ability to translate theoretical concepts into experimental results
- Strong background in linear algebra, quantum information theory, and statistical mechanics