Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational capabilities. This role offers unparalleled access to state-of-the-art quantum hardware and collaborative research environments with Nobel laureates and industry pioneers. You'll work on solving humanity's most complex challenges in cryptography, materials science, and artificial intelligence.
Our San Francisco campus features a 10,000 sq ft quantum lab with 128-qubit processors, and we offer competitive equity packages, flexible remote work options, and a wellness program including weekly mindfulness sessions and subsidized gym memberships. This position includes mentorship opportunities for PhD candidates and opportunities to publish in Nature and Science journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems in machine learning and cryptography
- Develop error-correction protocols to enhance quantum processor stability beyond 99.9% fidelity
- Collaborate with hardware teams to co-design quantum processors for specific computational tasks
- Lead cross-functional research projects integrating quantum-classical hybrid computing systems
- Publish findings in top-tier journals and present at conferences like IEEE Quantum Week
- Secure external funding through NSF and DARPA grants for advanced quantum research initiatives
- Mentor junior researchers and PhD candidates in quantum information theory
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of industry research experience
- Published research in quantum algorithms or quantum error correction (minimum 3 peer-reviewed papers)
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq) and classical languages (Python, C++)
- Deep understanding of quantum gate operations and circuit optimization techniques
- Experience with quantum simulators (QASM, ProjectQ) and real quantum hardware (IBM Q, Rigetti)
- Demonstrated ability to secure research grants (minimum $500k in prior funding)
- Strong background in linear algebra, probability theory, and computational complexity