Job Description
Join Nexus Quantum Labs at the forefront of the 2026 quantum revolution! We're seeking a pioneering Quantum Computing Research Scientist to develop breakthrough algorithms that will redefine technological boundaries. As a key member of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, materials science, and AI optimization.
Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including access to 1000+ qubit processors and zero-temperature cryogenic systems. This role provides unparalleled opportunities to publish in Nature/Science journals and shape the quantum landscape for decades to come.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems and machine learning applications
- Develop error-correction protocols to enhance quantum system stability beyond 2026 industry standards
- Lead cross-functional teams in translating theoretical quantum models into practical computing solutions
- Author peer-reviewed research publications and present findings at international quantum conferences
- Collaborate with hardware engineers to prototype next-generation quantum processors
- Secure and manage multi-million dollar research grants from DARPA and NSF
- Mentor postdoctoral researchers and develop quantum curriculum for academic partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics (or equivalent industry experience)
- Expertise in quantum algorithms, quantum error correction, and quantum complexity theory
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing frameworks
- Publication record in top-tier journals (Nature, Science, PRL) or major quantum conferences
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to secure and manage government research grants
- Strong background in machine learning and classical optimization techniques
- Excellent written and verbal communication skills for technical and non-technical audiences