Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the quantum frontier. We're seeking visionary Quantum Computing Research Scientists to architect breakthrough solutions that will redefine computing paradigms by 2026. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin Innovation Center, where theoretical physics meets practical application.
Our multidisciplinary teams are developing next-gen quantum algorithms for cryptography optimization, molecular modeling, and AI acceleration. You'll have access to our 512-qubit quantum processors and work with cutting-edge cryogenic systems. This isn't just a job—it's your opportunity to shape the technological landscape of the next decade.
Responsibilities
- Design and implement novel quantum algorithms for real-world applications in finance, healthcare, and materials science
- Lead research initiatives in quantum error correction and fault-tolerant computing systems
- Collaborate with hardware engineers to optimize quantum software for proprietary quantum processors
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive quantum computing education initiatives
- Develop patentable quantum solutions addressing industry-specific challenges
- Interface with government agencies and Fortune 500 partners on quantum adoption strategies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical optimization frameworks
- Published work in quantum algorithms or quantum information theory
- Deep understanding of quantum mechanics principles and quantum circuit design
- Experience with high-performance computing environments and parallel programming
- Strong mathematical background in linear algebra, probability, and complex analysis
- Proven track record of translating theoretical concepts into practical implementations