Job Description
Shape the future of technology at Nexus Quantum Labs, where we're pioneering quantum computing breakthroughs that will redefine 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to lead groundbreaking projects in quantum algorithms, error correction, and hardware optimization. Join our elite team of Nobel laureates and Turing Award winners in a state-of-the-art facility overlooking the Bay, where your innovations could transform cryptography, drug discovery, and artificial intelligence.
As a cornerstone of our Quantum 2026 Initiative, you'll collaborate with industry giants and government agencies to solve humanity's most complex computational challenges. We offer unparalleled resources, flexible research parameters, and the opportunity to publish breakthrough findings in Nature and Science journals. If you're driven to push quantum theory beyond current boundaries, this is your moment to make history.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop fault-tolerant quantum computing architectures and error correction protocols
- Lead cross-functional R&D projects with hardware engineers and domain specialists
- Publish 3+ peer-reviewed papers annually in top-tier quantum computing journals
- Secure $2M+ in government and private research grants annually
- Mentor postdoctoral researchers and PhD candidates in quantum methodologies
- Contribute to quantum security frameworks for 2026-era digital infrastructure
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum error correction or topological qubits
- Expertise in quantum machine learning algorithms and hybrid quantum-classical systems
- Proven track record of securing quantum computing research funding
- Deep understanding of quantum hardware architectures (superconducting, photonic, trapped ions)
- Experience with high-performance computing environments and parallel processing