Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking an exceptional Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware architectures that will redefine computational possibilities. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, where your research will directly shape the future of artificial intelligence, cryptography, and materials science. We offer unparalleled resources, including access to quantum annealing systems and supercomputing clusters, alongside a culture that celebrates intellectual curiosity and bold innovation.
Our ideal candidate thrives at the intersection of theoretical physics and practical application, pushing the boundaries of what's possible in quantum information processing. You'll work on projects with global impact, from optimizing drug discovery processes to developing unhackable communication networks. At Nexus Future Labs, we don't just prepare for the future – we invent it.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error correction protocols to improve qubit stability
- Collaborate on quantum hardware architecture with engineering teams
- Lead research initiatives in quantum machine learning applications
- Publish findings in top-tier journals and present at international conferences
- Secure research funding through competitive grant proposals
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (required)
- 3+ years of hands-on quantum computing research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in quantum information theory and quantum mechanics
- Publication record in Nature/Science or equivalent journals
- Proficiency in Python, C++, and high-performance computing frameworks
- Experience with quantum annealing systems or superconducting qubits
- Demonstrated ability to translate theoretical concepts into practical applications