Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware architectures that leverage quantum mechanics to solve previously unsolvable problems. This role offers unparalleled opportunities to shape the future of computational science while working alongside Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility.
Our research division focuses on practical quantum applications in cryptography, drug discovery, and climate modeling. You'll collaborate with interdisciplinary teams to transform theoretical concepts into scalable prototypes, with direct impact on our 2026 product roadmap. We offer competitive equity packages, unlimited R&D budgets, and access to quantum hardware through our exclusive partnerships with leading quantum computing providers.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error-correction protocols to achieve quantum advantage in real-world applications
- Lead experimental validation of quantum circuits using superconducting and photonic platforms
- Collaborate with hardware engineers to co-design quantum processor architectures
- Publish peer-reviewed research in top-tier quantum computing journals
- Mentor junior researchers and contribute to our 2026 quantum roadmap
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE, QAOA) and quantum error correction
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Publication record in Nature/Science or equivalent quantum computing venues
- Experience with quantum hardware integration and noise characterization
- Strong background in linear algebra, probability, and computational complexity
- Ability to translate theoretical concepts into experimental implementations