Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of computational paradigms. We seek a visionary Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility, where your work directly impacts quantum algorithm development, error correction, and scalable quantum systems.
Our culture combines MIT-caliber rigor with Silicon Valley agility, offering unparalleled resources for experimentation and rapid prototyping. Benefit from competitive equity packages, flexible work arrangements, and exclusive access to our quantum hardware testbeds. This role represents a rare opportunity to shape humanity's computational future.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography applications
- Develop advanced quantum error correction protocols to achieve fault-tolerant computation
- Lead cross-functional teams in translating theoretical quantum models into practical implementations
- Author peer-reviewed publications and contribute to open-source quantum computing frameworks
- Identify and validate commercial applications of quantum technologies for 2026 market readiness
- Collaborate with hardware engineers to co-design quantum processor architectures
- Secure research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years postdoctoral research
- Published research in Nature/Science/Physical Review X on quantum algorithms or quantum information theory
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical high-performance computing
- Expertise in quantum error correction codes and fault-tolerant quantum architectures
- Experience with quantum hardware platforms (superconducting, trapped ions, photonic)
- Demonstrated ability to secure competitive research grants
- Strong background in machine learning for quantum systems optimization