Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer quantum solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine technological boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, leveraging cutting-edge quantum processors and simulators to solve humanity's most complex challenges.
We offer unparalleled resources including exclusive access to quantum annealing hardware, dedicated research budgets, and cross-disciplinary teams working on cryptography optimization, drug discovery acceleration, and climate modeling breakthroughs. Our culture values audacious thinking, with flexible schedules and sabbatical programs designed for deep research immersion.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead experimental validation of quantum hardware prototypes in cryogenic environments
- Develop error-correction protocols to achieve quantum advantage in real-world scenarios
- Collaborate with hardware teams to co-design quantum processors with algorithm-specific architectures
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Secure $1M+ in annual research grants through NSF and DoD quantum initiatives
- Mentor PhD interns from MIT, Stanford, and Caltech quantum programs
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years quantum research
- Published work in top-tier quantum computing journals (e.g., Quantum Science & Technology)
- Expertise in quantum programming languages (Q#, Quil, or Cirq) and circuit optimization
- Proficiency with quantum simulators (Qiskit, Cirq) and error-correction frameworks
- Experience with superconducting or photonic quantum hardware systems
- Strong background in machine learning and high-performance computing
- Track record of translating theoretical research into practical implementations