Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop breakthrough quantum algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of technology in our state-of-the-art San Francisco facility.
As a key member of our elite R&D team, you will collaborate with Nobel laureates and industry pioneers to push quantum computing from theoretical possibility to practical reality. Our interdisciplinary environment combines cutting-edge physics, advanced mathematics, and software engineering to solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and AI
- Lead quantum hardware optimization projects to achieve fault-tolerant quantum systems
- Publish groundbreaking research in top-tier journals and present at international conferences
- Mentor junior researchers and foster cross-functional collaboration between physics and engineering teams
- Secure and manage research grants from NSF, DARPA, and private quantum consortia
- Develop quantum security protocols for next-gen cryptographic systems
- Partner with tech giants to translate quantum research into commercial solutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years research experience
- Proven expertise in quantum algorithm design and quantum error correction
- Publication record in Nature/Science or equivalent peer-reviewed journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
- Experience with high-performance computing and parallel processing
- Demonstrated ability to secure competitive research funding
- Strong background in machine learning and classical optimization techniques