Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and applications that will redefine industries. In this role, you'll collaborate with world-class physicists and engineers to push the boundaries of quantum supremacy, working in our state-of-the-art Austin facility equipped with next-generation quantum processors. Your work will directly impact fields from cryptography to drug discovery, solving problems previously deemed impossible. We offer unparalleled resources, competitive compensation, and a culture that celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement novel quantum algorithms for computational optimization and simulation
- Conduct cutting-edge research in quantum error correction and fault-tolerant architectures
- Develop hybrid quantum-classical machine learning models for real-world applications
- Collaborate with hardware teams to optimize quantum circuit performance on proprietary processors
- Publish breakthrough research in leading scientific journals and present at international conferences
- Mentor junior researchers and lead cross-functional quantum innovation projects
- Secure external research funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Proven expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong publication record in quantum computing or theoretical physics
- Deep understanding of quantum information theory and many-body systems
- Experience with high-performance computing environments and parallel processing
- Track record of translating theoretical concepts into practical implementations
- Excellent analytical and problem-solving skills with attention to mathematical rigor
- Ability to work collaboratively in multidisciplinary teams