Job Description
Shape the future of technology at Nexus Quantum Labs, where we're pioneering the quantum revolution. We seek an exceptional Quantum Computing Research Scientist to join our elite team in San Francisco. In this cutting-edge role, you'll develop novel quantum algorithms, optimize quantum circuits, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility offers unparalleled resources for quantum experimentation, including access to next-generation quantum processors and a dedicated research budget exceeding $50M annually.
Join us to work on projects ranging from quantum cryptography and drug discovery to climate modeling and artificial intelligence. We offer competitive equity packages, unlimited PTO, and comprehensive benefits including fertility coverage and parental leave. This is your chance to be at the forefront of technological innovation that will define the 21st century.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error mitigation techniques to enhance quantum processor stability and fidelity
- Collaborate with experimental physicists to translate theoretical models into functional quantum circuits
- Lead research initiatives in quantum machine learning and hybrid quantum-classical systems
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and supervise graduate interns in quantum research projects
- Secure external funding through NSF and DOE grants for advanced quantum research
Qualifications
- PhD in Quantum Physics, Computer Science, Mathematics, or related field with 3+ years of quantum research experience
- Deep expertise in quantum information theory, quantum algorithms, and quantum error correction
- Proficiency in quantum programming languages (Q#, Quipper, or Qiskit) and high-performance computing
- Published research in peer-reviewed quantum computing journals or conference proceedings
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Demonstrated ability to lead complex research projects with cross-functional teams
- Strong background in machine learning and its quantum applications