Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer the next generation of quantum technologies. We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize quantum error correction protocols, and bridge the gap between theoretical physics and practical applications. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform quantum theory into real-world impact.
As part of our elite Quantum Innovation Division, you'll contribute to projects with global implications—from accelerating drug discovery to revolutionizing cryptography. We offer competitive compensation, flexible research timelines, and a culture that celebrates intellectual curiosity. If you're ready to shape the computational landscape of 2026 and beyond, apply today.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation challenges
- Develop quantum error correction protocols to overcome decoherence limitations
- Lead cross-functional research teams in translating theoretical quantum models into practical implementations
- Collaborate with AI/ML specialists to hybridize quantum-classical computing architectures
- Author groundbreaking research papers for premier quantum computing conferences
- Secure and manage $5M+ research grants from NSF and DARPA
- Mentor postdoctoral researchers and quantum engineering interns
- Contribute to quantum hardware-software co-design initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 5+ years of quantum research
- Published work in Nature/Science journals or top-tier quantum conferences
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in machine learning applications to quantum systems
- Proven ability to secure federal research funding
- Excellent communication skills for technical and non-technical stakeholders