Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations will shape the future of computing.
As part of our elite research team, you'll work on cutting-edge quantum hardware optimization, error correction protocols, and hybrid quantum-classical systems. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with leading academic institutions.
Responsibilities
- Design and implement novel quantum algorithms for practical industry applications
- Optimize quantum circuit performance on next-generation hardware platforms
- Develop error correction techniques to achieve fault-tolerant quantum computation
- Collaborate with hardware engineers to translate theoretical models into physical implementations
- Lead research initiatives in quantum machine learning and quantum cryptography
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to lab's intellectual property strategy
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Strong background in linear algebra, probability theory, and quantum information theory
- Published research in quantum computing or quantum information science
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to translate complex quantum concepts into practical solutions
- Excellent problem-solving skills and ability to work in cross-functional teams