Job Description
Join Nexus Quantum Labs at the forefront of the 2026 technological revolution! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs in quantum algorithms and hardware integration. As a key member of our interdisciplinary team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 256-qubit processors and cryogenic computing environments. We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning opportunities through our Quantum Research Academy.
This role represents a unique opportunity to shape the next generation of computational paradigms while contributing to life-altering applications in cryptography, drug discovery, and climate modeling. If you're passionate about pushing the boundaries of theoretical physics and computer science, we invite you to apply and become part of quantum history.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental research on quantum error correction and fault-tolerant systems
- Collaborate with hardware engineers to develop quantum-classical hybrid computing architectures
- Publish breakthrough research in top-tier journals (Nature, Science, Quantum)
- Secure and manage multi-million dollar research grants from NSF and DARPA
- Mentor PhD researchers and contribute to quantum education initiatives
- Translate theoretical concepts into practical quantum computing solutions
Qualifications
- PhD in Quantum Physics, Computer Science, or Applied Mathematics (postdoc preferred)
- 5+ years of hands-on quantum computing research with published papers
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency with quantum programming languages (Q#, Quil, or Cirq)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Demonstrated ability to secure federal research grants
- Strong background in linear algebra, probability theory, and complexity theory
- Exceptional problem-solving skills with cross-disciplinary thinking