Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, where your work directly shapes the future of artificial intelligence, cryptography, and materials science.
We offer unparalleled resources, including access to IBM Quantum and Rigetti systems, competitive equity packages, and flexible hybrid work arrangements. Your contributions will power innovations that will impact global healthcare, climate modeling, and financial systems.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to achieve fault-tolerant quantum computing
- Lead cross-functional teams in prototyping quantum applications for industry partners
- Publish peer-reviewed research in top-tier journals and present at international conferences
- Optimize quantum circuit performance on real quantum processors
- Collaborate with hardware teams to co-design next-generation quantum architectures
- Secure research grants and patents for quantum innovations
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Deep understanding of quantum mechanics and quantum information theory
- Proven track record of publishing quantum computing research
- Expertise in high-performance computing and parallel processing
- Strong analytical skills with ability to solve complex mathematical problems
- Experience with machine learning frameworks and classical-quantum hybrid systems
- Excellent communication skills for technical and non-technical audiences