Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a brilliant Quantum Computing Research Scientist to develop next-gen algorithms that will redefine computational boundaries. In this high-impact role, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, drug discovery, and artificial intelligence.
Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors, AI-accelerated simulation environments, and dedicated collaboration spaces. We provide competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead cross-functional teams in prototyping quantum-classical hybrid systems
- Develop error-correction techniques to advance quantum coherence beyond 1000-qubit thresholds
- Translate theoretical quantum models into practical implementations using Qiskit and Cirq frameworks
- Collaborate with AI researchers to develop quantum-enhanced machine learning architectures
- Secure $2M+ in research grants from NSF and DARPA programs
- Present findings at premier conferences like IEEE Quantum Week and Q2B
- Mentor PhD candidates in quantum information science initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science from Tier 1 institution
- 5+ years of hands-on quantum algorithm development experience
- Publication record in Nature/Science or equivalent quantum computing journals
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency with quantum programming languages (Q#, Quipper, PyQuil)
- Demonstrated success in securing federal research funding
- Experience with superconducting and photonic quantum computing platforms
- Strong background in linear algebra and quantum information theory